In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Delve into this insightful article to explore the current state of generative AI, its ethical implications, and the power of generative AI models across various industries.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
How do OpenAI GPT Models Work - Misconceptions and Tips for DevelopersIvo Andreev
Have you ever wondered why GPT models work? Do you ask questions like:
◉ How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? ◉ Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? ◉ How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Key Terms; ChatGPT Enterprise; Top Questions; Enterprise Data; Azure Search; Functions; Embeddings; Context Encoding; General Intelligence; Emerging Abilities; Chain of Thought; Plugins; Multimodal with DALL-E; Project Florence
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
How Azure helps to build better business processes and customer experiences w...Maxim Salnikov
Artificial Intelligence is not the future, it is NOW. Cloud technology empowers developers and technology leaders to benefit from AI effectively and responsibly with the models and tools they need. In this session, we go through the portfolio of Azure AI services and run some demos to showcase how AI can improve daily life, safety, productivity, accessibility, and business outcomes.
Building Generative AI-infused apps: what's possible and how to startMaxim Salnikov
In this session, we'll explore different scenarios where the features of Generative AI can provide added value to an IT solution. We'll also learn how to begin developing your own application powered by AI. Using Azure OpenAI service as an illustration, we'll examine the various APIs it offers, review the best practices of Prompt Engineering, explore different ways to incorporate your own data into the process, and take a glance at several tools and resources that make the developer experience more seamless.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Delve into this insightful article to explore the current state of generative AI, its ethical implications, and the power of generative AI models across various industries.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
How do OpenAI GPT Models Work - Misconceptions and Tips for DevelopersIvo Andreev
Have you ever wondered why GPT models work? Do you ask questions like:
◉ How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? ◉ Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? ◉ How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Key Terms; ChatGPT Enterprise; Top Questions; Enterprise Data; Azure Search; Functions; Embeddings; Context Encoding; General Intelligence; Emerging Abilities; Chain of Thought; Plugins; Multimodal with DALL-E; Project Florence
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
How Azure helps to build better business processes and customer experiences w...Maxim Salnikov
Artificial Intelligence is not the future, it is NOW. Cloud technology empowers developers and technology leaders to benefit from AI effectively and responsibly with the models and tools they need. In this session, we go through the portfolio of Azure AI services and run some demos to showcase how AI can improve daily life, safety, productivity, accessibility, and business outcomes.
Building Generative AI-infused apps: what's possible and how to startMaxim Salnikov
In this session, we'll explore different scenarios where the features of Generative AI can provide added value to an IT solution. We'll also learn how to begin developing your own application powered by AI. Using Azure OpenAI service as an illustration, we'll examine the various APIs it offers, review the best practices of Prompt Engineering, explore different ways to incorporate your own data into the process, and take a glance at several tools and resources that make the developer experience more seamless.
ChatGPT and not only: How to use the power of GPT-X models at scaleMaxim Salnikov
Join this session to get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we’ll put in order all the terms – OpenAI, GPT-X, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we’ll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one. During this session, we’ll keep our playground – Azure OpenAI Studio – open to illustrate these capabilities with live demos!
A presentation on how to lead the AI era with Microsoft Cloud. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By Silia Sideri
ChatGPT and not only: how can you use the power of Generative AI at scaleMaxim Salnikov
Join this session to get all the answers about how ChatGPT and other LLM models can be applied to your current or future project. We'll start by putting in order all the terms - OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc. - and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Zapbuild Technology, is an Enterprise Business Solutions Provider. We can conceive, design, develop and implement an enterprise application of any magnitude and on any platform. We are globally accepted, as evidenced by the faith reposed by multiple clients.
SharePoint Saturday Warsaw - Conversational AI applications in Microsoft TeamsThomas Gölles
While every team is unique, one thing that is consistent is that every team will need a variety of apps and tools to get their work done. Since there is no such thing as a universal tool for work, the extensibility of the Teams platform delivers a universal hub for teamwork to infuse all those tools, together.
This session will guide you through the development lifecycle of a chatbot built for Microsoft Teams to enrich your collaboration and communication experience. Basic design guidelines paired with working examples and real-world demos will help you understand the principles of designing conversational AI apps that fit into your hub for teamwork. Expect a lot of ideas, concepts and demos and less code.
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
It's quite ironic that to interact with the most advanced AI in our history - Large Language Models: ChatGPT, etc. - we must use human language, not programming one. But how to get the most out of this dialogue i.e. how to create robust and efficient prompts so AI returns exactly what's needed for your solution on the first try? After my session, you can add the Junior (at least) Prompt Engineer skill to your CV: I will introduce Prompt Engineering as an emerging discipline with its own methodologies, tools, and best practices. Expect lots of examples that will help you to write ideal prompts for all occasions.
This session is based on my research and experiments in Prompt Engineering and is 100% relevant for cloud developers who investigate adding some LLM-powered features to their solutions. It's a guide to building proper prompts for AI to get desired results fast and cost-efficient.
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...Maxim Salnikov
Have you been in the situation where you need to remember what is this code written by you some time ago about? Not even saying about you trying to understand someone else's code? GitHub Copilot Chat is a new way to code, where you can write code, fix bugs, write tests, and explain code to yourself and others in a chat window in a sidebar or inline. In this session, I'll demonstrate how GitHub Copilot Chat takes developer experience to the next level and how it can help you be more productive in your day-to-day work.
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
It's quite ironic that to interact with the most advanced AI in our history - Large Language Models: ChatGPT, etc. - we must use human language, not programming one. But how to get the most out of this dialogue i.e. how to create robust and efficient prompts so AI returns exactly what's needed for your solution on the first try? After my session, you can add the Junior (at least) Prompt Engineer skill to your CV: I will introduce Prompt Engineering as an emerging discipline with its own methodologies, tools, and best practices. Expect lots of examples that will help you to write ideal prompts for all occasions.
Using the power of OpenAI with your own data: what's possible and how to start?Maxim Salnikov
The top questions we get about ChatGPT-powered enterprise scenarios are all about using the company's own data as the basis for the responses. In this session, we'll explore various options starting from simply injecting data into the prompt to the advanced architectures with multiple Cognitive Services chained together and fine-tuning models - all for you to choose the flexible, scalable, and cost-efficient solution that works the best for you.
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...Maxim Salnikov
Have you been in the situation where you need to remember what is this code written by you some time ago about? Not even saying about you trying to understand someone else's code? GitHub Copilot Chat is a new way to code, where you can write code, fix bugs, write tests, and explain code to yourself and others in a chat window in a sidebar or inline. In this session, I'll demonstrate how GitHub Copilot Chat takes developer experience to the next level and how it can help you be more productive in your day-to-day work.
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
It's quite ironic that to interact with the most advanced AI in our history - Large Language Models: ChatGPT, etc. - we must use human language, not programming one. But how to get the most out of this dialogue i.e. how to create robust and efficient prompts so AI returns exactly what's needed for your solution on the first try? After my session, you can add the Junior (at least) Prompt Engineer skill to your CV: I will introduce Prompt Engineering as an emerging discipline with its own methodologies, tools, and best practices. Expect lots of examples that will help you to write ideal prompts for all occasions.
This session is based on my research and experiments in Prompt Engineering and is 100% relevant for cloud developers who investigate adding some LLM-powered features to their solutions. It's a guide to building proper prompts for AI to get desired results fast and cost-efficient.
Finally, Web Push API is available in all major browsers and platforms. It's a feature that can take your users' experience to the next level or... ruin it! In my session, after a tech intro about how Web Push works, we'll explore implementing smart permission request dialogues, various types of notifications themselves, and communicating with your app for more sophisticated scenarios - all done right, with the best possible UX.
What is the current state of the Angular framework? What new features are there in the latest version and on the roadmap? Let's have a bird-eye view of the framework to make informed technical decisions, to make sure that we use the latest best practices, and to look into the future of our Angular projects with confidence.
Azure cloud for the web frontend developersMaxim Salnikov
It’s impossible to reason about modern web application without mentioning its front-end part – extensive, feature-rich, performant, sometimes with quite sophisticated structure and build process, but after all not requiring server-side code to construct it in the runtime, i.e. static. In the Azure cloud, we now have a special service for this kind of apps (including both classic SPAs and statically generated ones), empowering developers to focus on the business logic rather than the infrastructure that builds and hosts them.
In my technical session & demo, let's go through the full development flow: we scaffold a web front-end app, push it to the GitHub, set up Azure Static Web App service, enjoy the fully automatic build, and deploy to global high-availability hosting - all in a few minutes!
[Russian] Сервис-воркеры: используем накопленные знания для светлого будущего...Maxim Salnikov
Несомненно, 2018 - это год, когда Progressive Web Apps получат действительно широкое признание всех вовлеченных сторон: разработчиков браузеров, разработчиков веб-приложений, пользователей. Скорость и гладкость этого процесса в значительной степени зависят от того, насколько правильно мы, разработчики, используем возможности новых API. Основа всей идеи PWA - это Service Worker API, который отвечает за всю магию работы оффлайн, оптимизацию сетевых запросов, push-уведомления и массу других интересных и полезных вещей. В моей сессии, основанной на накопленном опыте разработки и поддержки PWA, мы пройдемся по списку: лучшие практики с примерами кода как избежать множества подводных камней последние новости с фронта поддержки PWA браузерами известные ограничения и как с ними жить масса полезной и практической информации о PWA
Онлайн-версия: https://slides.com/webmax/serviceworker-frontdays/
- Веб доказал свою применимость в качестве платформы для создания приложений и сервисов практически любого масштаба и направленности. - Новые веб-API позволяют полноценно использовать функциональность устройств, так что клиентской части веб-приложений больше незачем себя ограничивать рамками браузера. - Набор API, спецификаций и подходов к разработке, позволяющий создавать практически “нативные” приложения для любой платформы, используя навыки веб-разработчика, получил название PWA (Progressive Web Applications). - Сегодняшняя поддержка PWA всеми основными разработчиками браузеров говорит о том, что это может быть одним из главных векторов развития и распространения веб-технологий. - В выигрыше оказываются и разработчики (единая кодовая база), и пользователи (легкие, быстрые, функциональные приложения).
Онлайн-версия: https://slides.com/webmax/pwa-rif/
Securing Connected Cars Requires Digital IdentityMaxim Salnikov
A modern connected vehicle is no longer just a car with a built-in wireless access point - each connected car is a rolling IoT ecosystem. So how do you ensure security and privacy for customers and manufacturers of the connected car?
How to Make Your IoT Devices Secure, Act Autonomously & Trusted SubjectsMaxim Salnikov
The ForgeRock Identity Platform and Edge security solution can turn any IoT device into a secure, trusted active subject enrolled and on-boarded from a hardware based root of trust to become an autonomous entity in your business relationship eco system represented by a digital twin.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
1. Using the power of
Generative AI at scale
Maxim Salnikov
Microsoft
2. • Building on web platform since 90s
• Organizing developer communities and technical conferences
• Speaking, training, blogging: Webdev, Cloud, OpenAI
Helping developers to succeed with the Cloud & AI technology
Maxim.Salnikov@microsoft.com
Let’s connect and chat!
3. Of AI used by the enterprises over the past several years
Of executives view AI and machine
learning as priorities that they should
be incorporating into their product
lines and businesses
4. Redmond WA Montreal QB
New York NY
Boston MA
Cambridge, UK
India
Beijing, China
Shanghai, China
Global research
centers
Researchers
employed
worldwide
AI-related
patents
AI research
papers
published
To human parity
on vision,
speech, and
language
6. ML Platform
Customizable AI Models
Cognitive Services
Scenario-Based Services
Applied AI Services
Application Platform
AI Builder
Applications Partner Solutions
Power BI Power Apps Power Automate Power Virtual Agents
Azure Machine Learning
Vision Speech Language Decision
Azure OpenAI
Service
Immersive Reader
Form Recognizer
Bot Service Video Indexer Metrics Advisor
Cognitive Search
Developers &
Data Scientists
Business
Users
7.
8. Ensure that artificial
general intelligence (AGI)
benefits humanity
Empower every person and
organization on the planet
to achieve more
GPT-3.5 and GPT-4
Text
ChatGPT
Conversation
Codex
Code
DALL·E 2
Images
9. Prompt
Write a tagline for
an ice cream shop.
Prompt
Table customers, columns =
[CustomerId, FirstName,
LastName, Company, Address,
City, State, Country,
PostalCode]
Create a SQL query for all
customers in Texas named Jane
query =
Prompt
A ball of fire with vibrant
colors to show the speed of
innovation at our media and
entertainment company
Response
We serve up smiles
with every scoop!
Response
SELECT *
FROM customers
WHERE State = 'TX' AND
FirstName = 'Jane'
Response
Prompt
I’m having trouble getting
my Xbox to turn on.
Response
There are a few things you
can try to troubleshoot
this issue … …
Prompt
Thanks! That worked. What
games do you recommend for
my 14-year-old?
Response
Here are a few games that you
might consider: …
GPT-3.5 and GPT-4 ChatGPT Codex DALL·E 2
12. Azure OpenAI
Content
generation
Call center analytics:
automatically generate
responses to customer inquiries
Generate personalized UI
for your website
Summarization
Call center analytics:
summary of customer
support conversation logs
Subject matter expert document:
summarization (e.g. Financial
reporting, analyst articles)
Social media trends
summarization
Code
generation
Convert natural language to
SQL (or vice versa) for
telemetry data
Convert natural language to
query proprietary data models
Code documentation
Semantic
search
Search reviews for a specific
product/service
Information discovery and
knowledge mining
13. Azure OpenAI
Finance
Automatically generate
financial summaries
Create natural language
responses for financial queries
IT
Convert natural language to
SQL (or vice versa) for
telemetry data
Convert natural language to
query proprietary data
models
Auto generate code
documentation
Human
resources
Automate recruitment process
by screening resumes and
identifying the most qualified
candidates
Analyze employee sentiment
(e.g., email, etc) providing
insights into company culture
Automate routine tasks
during the onboarding
process, such as sending
welcome emails and
scheduling orientation
sessions
Marketing
Generate idea for content
across different formats (blog
posts, articles, videos, and
social media)
Copywriting: generate ideas,
creating outlines, and writing
dialogue and product
descriptions
Create personalized and
targeted email campaigns to
promote products or services
to a specific audience
14. Azure OpenAI
Finance
Intelligent Compliance & Risk
Management
Retail Healthcare
Personalised Customer Care
Cost Savings through
Optimised Engagement
Innovation w/ Better /
Alternative Treatment
Comms & Media
Hyper-personalisation
Innovative Content Creation
Intelligent Contact Center
Personalised Customer Care
Cost Savings through
Optimised Engagement
Hyper-personalisation
Innovative Marketing and
Campaigning
Intelligent Contact Center
15. Example
Discovery/
exploration
Virtual agents communicate in clear,
conversational language in
customer’s native tongue
Customers get detailed answers to
policy and brand inquiries in
human language
After customer calls, agents receive
automatically generated notes,
recommendations, and call highlights
Agent can use auto generated
emails to expeditiously follow
up and close sales
Agent can use auto generated visuals
to craft customized offers and
marketing material
Buying/using
Following purchase, customer gets
automated and hyper-personalized
onboarding docs
Customers can easily understand
what they have bought as
complex contract language is
presented in lay terms
Customer can initiate claims
digitally (Digital FNOL) using
non-technical terms
Prior to customer appts, agents can
generate script to drive conversation,
based on customer profile and
conversation history
Agent can auto generate emails
and replies in Outlook to
collect/inform customers on
important issues like claims
Asking
In chat, insurer provides an
expanded knowledge base to answer
customer inquiries
Agents can automate follow up
activities and track, measure, and
evaluate the inquiries they receive
Agents/reps can retrieve
knowledge base responses to
customer queries in lay terms
Engaging
During milestones, outreach to
customer is automated and
relevant to their risk aversion
and protection needs
Alert agents on important
events (birthdays, weddings)
and generate automated emails
to drive engagement
Scale
Customer
Agent
16. CarMax produced 11 years'
worth of car summaries in a
matter of months.
Using Azure OpenAI Service
reduces their marketing
freelancer spend.
It also enables them to
provide new information to
their customers faster than
their competitors.
“With Azure OpenAI Service,
we are able to create content
that empowers our customers
so they can be informed
before they make a decision,”
‒ Shamim Mohammad, CarMax executive
vice president and chief information and
technology officer. “
“Azure OpenAI Service is
definitely playing a big part in
our SEO improvement.”
‒ Sean Goetz, Director, Application Systems
17. Strabag SE builds a risk management solution
to improve efficiency
Challenge
Strabag specializes in construction and related services. The company was
seeking a solution to centralize and better leverage their data in order to
optimize their operations.
Solution
With Microsoft’s Intelligent Data Platform serving as the foundation of Strabag’s
Data Science Hub, they were able to leverage Azure OpenAI Service to create a
solution that allows it to assess the potential impacts of a project in its earliest
stages by comparing it against all its realized projects – therefore minimizing the
risks.
“With this solution, enabled by Azure OpenAI Service, we know when the
weather will prevent us using a crane on-site. Moreover, by the aid of
Generative Design our real estate development unit knows with a few clicks
how much maximum gross floor area they can develop on a site. This kind of
information is vital when you have projects worth two million euros with a
margin of 4-5%.”
Manufacturing Austria
Corporate
(10,000+ employees)
18. The solution to the size and fit problem is knowing the personal preferences of
your customers on each item-model-level
19. • Skjold.ai protects all traffic
• Check suspicious messages
• Cybercrime is growing
• Criminals adopt new technology
• Instant feedback if the
messages is considered safe
or could be fraud
• Explain red flags and
educate the user
• Integrated in the iPhone
SMS app
• Available for iPhone and
Android
AI-powered scan of suspicious
messages
Read more
www.skjold.ai/demo
Mobile first protection against cyber crime built with Azure OpenAI
20.
21. 1. A secret step (on the last slide)
2. Request access by submitting a form on azure.microsoft.com
3. Send your first request to Completions API
4. Experiment with models, prompts, parameters
5. Try different options to use your own data
6. Build a product and share with the world! 🎉
22. Prompt—Text input that
provides some context to the
engine on what is expecting.
Completion—Output that
GPT-3 generates based on
the prompt.
some context
Token — partial or full words
processed and produced by
the GPT models
23. “Classic” GPT-3 models
Previous models were text-in and text-out
(i.e., they accepted a prompt string and returned a completion to
append to the prompt).
Answer questions from the context below.
Context:
A neutron star is the collapsed core of a massive
supergiant star, which had a total mass of between 10
and 25 solar masses, possibly more if the star was
especially metal-rich.
Q: What is a neutron star?
A:
The ChatGPT model
The ChatGPT model is conversation-in and message-out.
(i.e., it expects a prompt string that is formatted in a specific chat-
like transcript format and returns a completion that represents a
model-written message in the chat)
<|im_start|>system
Assistant is an AI Chatbot designed to answer questions
from the context provided below.
Context:
A neutron star is the collapsed core of a massive
supergiant star, which had a total mass of between 10
and 25 solar masses, possibly more if the star was
especially metal-rich.
<|im_end|>
<|im_start|>user
What is a neutron star?
<|im_end|>
<|im_start|>assistant
24. Context
Write a
tagline for
our ice cream
shop.
Prompt Response
Scoops of
heaven in the
heart of
Phoenix!
## This is a conversational agent whose code name is Dana:
- Dana is a conversational agent at Gourmet Ice Cream, Inc.
- Gourmet Ice Cream’s marketing team uses Dana to help them be more
effective at their jobs.
- Dana understands Gourmet Ice Cream’s unique product catalog, store
locations, and the company’s strategic goal to continue to go upmarket
## On safety:
- Dana should moderate the responses to be safe, free of harm
and non-controversial.
## On Dana’s ability to gather and present information:
- Dana’s responses connect to the Product Catalog DB, Store Locator DB,
and Microsoft 365 it has access to through the Microsoft Cloud,
providing great CONTEXT
## On Dana’s profile and general capabilities:
- Dana’s responses should be informational and logical
- Dana’s logic and reasoning should be rigorous, intelligent and defensible
25. Extract precise answers from your unstructured documents with Azure OpenAI + Cognitive Search: article + repo
26. 1. Give clearer instructions
2. Split complex tasks into simpler subtasks
3. Structure the instruction to keep the model on task
4. Prompt the model to explain before answering
5. Ask for justifications of many possible answers, and then synthesize
6. Generate many outputs, and then use the model to pick the best one
7. Fine-tune custom models to maximize performance
28. Fine-Tuning
Domain Data
Small Set of Labeled
Data
• minimum of several
thousand examples
• Maximum of 2.5M tokens
or 80-100mb size
Fine-Tuned GPT-3 Model
Perform any domain-specific
NLP tasks
Model parameters adjusted
(Weights and Bias)
Gradient Update
high-dimensional
vector space
(Embeddings)
GPT-3
Fine-tuning
• Higher quality results than prompt
design
• Ability to train on more examples than
can fit in a prompt
• Token savings due to shorter prompts
• Lower latency requests
29.
30. ◉ Learn more in the Azure OpenAI WorkshopI
◉ See examples in the Open AI Cookbook
◉ Start experimenting and developing your MVP
◉ Get support and help
◉ How-to guides: Generate embeddings and Fine-tune
◉ Complete embeddings and document search tutorial.
◉ How your/your customer data is processed, used and stored in Azure OpenAI:
Data, privacy and security
◉ Review the Enterprise Data with ChatGPT tech blog, and work through the
accompanying GitHub repository.
◉ Become familiar with the APIs
◉ Understand “What is Azure OpenAI?”: compare Azure OpenAI and
OpenAI. Review key concepts.
◉ Work through Introduction to Azure OpenAI Service training
module
◉ Explore key Responsible AI guidelines and principles
◉ Create an Azure subscription
◉ Apply for access to the Azure OpenAI Service:
https://aka.ms/oai/access )
◉ Watch the video: An Introduction to Azure OpenAI
◉ Get Familiarized with the product content: Azure OpenAI Page
◉ Review how other customers are using Azure AI