ChatGPT (Chat Generative pre-defined transformer) is OpenAI's application that performs human like interactions. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. Deck contains more details about ChatGPT, AI, AGI, CoPilot, OpenAI API, and use case scenarios.
For many decades now, the software industry has attempted to bridge the productivity gap, develop higher quality code and manage the ever growing complexity of software-intensive systems. The results have been mixed, and as a result, a great majority of today's software is still written manually by human developers. This is about to change rapidly as recent developments in the field of Artificial Intelligence show promising results. While artists and designers have been taken by surprise by OpenAI’s DALL-E 2’s capabilities in designing unique art, ChatGPT has astonished the rest of the world with its capability of understanding human interaction. AI-assisted coding solutions such as Github’s Copilot and Replit’s Ghostwriter, among many others, are rapidly developing in a direction where AI generates new code that runs fast with high quality. Little is known about the true capabilities of AI programmers and their impact on the software development industry, education, and research. This talk sheds light on the current state of ChatGPT, large language models including GPT-4, AI-assisted coding, highlights the research gaps, and proposes a way forward.
Making Testing Easy w GitHub Copilot.pdfApplitools
Learn how to boost productivity with real-time code suggestions for a broad set of frameworks and languages with GitHub Copilot in this webinar with Rizel Scarlett.
Presented at All Things Open RTP Meetup
Presented by Brent Laster
Title: Introduction to GitHub Copilot
Abstract: Learn about the future of coding with this presentation, "Introduction to GitHub Copilot." Join author, speaker, and DevOps director Brent Laster as we discuss the GitHub coding assistant that leverages the power of artificial intelligence to augment your development activities. In this session, we'll delve into the core features of GitHub Copilot, explaining what it is, and learning about its ability to generate code snippets, autocompletions, and even entire functions across a variety of programming languages.
Learn how Copilot enhances your coding efficiency by contextualizing suggestions based on your codebase and offering a seamless integration into popular code editors. We'll explore some example applications and look at how developers can harness Copilot to streamline their workflows and boost productivity. Whether you're a seasoned developer or just embarking on your coding journey, this presentation offers a quick introduction to GitHub Copilot's capabilities, as a starting point for you to embrace cutting-edge AI assistance in your coding endeavors.
Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio.
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.
For many decades now, the software industry has attempted to bridge the productivity gap, develop higher quality code and manage the ever growing complexity of software-intensive systems. The results have been mixed, and as a result, a great majority of today's software is still written manually by human developers. This is about to change rapidly as recent developments in the field of Artificial Intelligence show promising results. While artists and designers have been taken by surprise by OpenAI’s DALL-E 2’s capabilities in designing unique art, ChatGPT has astonished the rest of the world with its capability of understanding human interaction. AI-assisted coding solutions such as Github’s Copilot and Replit’s Ghostwriter, among many others, are rapidly developing in a direction where AI generates new code that runs fast with high quality. Little is known about the true capabilities of AI programmers and their impact on the software development industry, education, and research. This talk sheds light on the current state of ChatGPT, large language models including GPT-4, AI-assisted coding, highlights the research gaps, and proposes a way forward.
Making Testing Easy w GitHub Copilot.pdfApplitools
Learn how to boost productivity with real-time code suggestions for a broad set of frameworks and languages with GitHub Copilot in this webinar with Rizel Scarlett.
Presented at All Things Open RTP Meetup
Presented by Brent Laster
Title: Introduction to GitHub Copilot
Abstract: Learn about the future of coding with this presentation, "Introduction to GitHub Copilot." Join author, speaker, and DevOps director Brent Laster as we discuss the GitHub coding assistant that leverages the power of artificial intelligence to augment your development activities. In this session, we'll delve into the core features of GitHub Copilot, explaining what it is, and learning about its ability to generate code snippets, autocompletions, and even entire functions across a variety of programming languages.
Learn how Copilot enhances your coding efficiency by contextualizing suggestions based on your codebase and offering a seamless integration into popular code editors. We'll explore some example applications and look at how developers can harness Copilot to streamline their workflows and boost productivity. Whether you're a seasoned developer or just embarking on your coding journey, this presentation offers a quick introduction to GitHub Copilot's capabilities, as a starting point for you to embrace cutting-edge AI assistance in your coding endeavors.
Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio.
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.
Github Copilot vs Amazon CodeWhisperer for Java developers at JCON 2023Vadym Kazulkin
In this talk I will compare 2 services Github Copilot (including Copilot X) and Amazon CodeWhisperer from the perspective of the Java developers in terms of the quality of the given recommendations for simple tasks, complex algorithms, Spring Boot and AWS development, IDE integration and pricing.
Both services are the machine learning-powered services that help improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code. Based on natural language comments, these services also automatically recommend unit test code that matches your implementation code.
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPTAnant Corporation
Episode 3: The LLM / GPT / AI Prompt / Data Engineer Roadmap
In this episode, we'll discuss the history, fundamentals, and the different flavors of LLMs available, beyond GPT/ChatGPT. This is a dry run of a session that will be on a LLM Bootcamp ( Fill out the survey on the link if you are interested in an in-person vs. virtual session)
Intro / Fundamentals of LLM
LLM Foundations
History of LLMs
Tuning, Training, or "In Context Learning" with LLMs
What is "Prompt Engineering"
Case for Augmenting LLMs
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes? If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
GPT Automation: What it is and How it Works
How Time-Saving GPT Automation Can Improve Your Business
Cost-Effective GPT Automation: How it Can Save Your Business Money
Using GPT Automation for Customer Service: Benefits and Best Practices
The Power of GPT Automation for Content Creation
Data Analysis Made Easy with GPT Automation
Top GPT-3 Automation Tools for Businesses
The Ethical Considerations of GPT Automation
Overcoming Bias in GPT Automation: Best Practices
The Future of GPT Automation: Trends and Predictions
Since we focus on "no code" here, we'll explore the tools that are already out there such as ChatGPT plugins for Chrome, OpenAI GPT API, low-code/no-code platforms like Make/Integromat and Zapier, existing apps like Jasper/Rytr, and ecosystem tools like Everyprompt. We'll also discuss the resources available for those interested in learning more about GPT, including other people’s prompts.
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.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
[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.
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.
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.
[DSC Europe 23] Marcel Tkacik - Augmented Retrieval Products with GAI modelsDataScienceConferenc1
This session will provide a balanced insight into the technical development and business-centric application of augmented retrieval products, utilizing Generative AI models. We will traverse from requirements engineering to prototyping and user acceptance testing, spotlighting the critical role of optimizing vectorizers for superior smart search functionality within a business ecosystem. A substantial focus will be on demonstrating the deployment of these advanced models on Azure infrastructure, ensuring scalable and efficient solutions. Additionally, the integration of strategic feedback mechanisms will be addressed, essential for perpetually enhancing the quality of answers and aligning products with evolving business goals and user requisites, ultimately fostering refined decision-making and improved business operations.
Github Copilot vs Amazon CodeWhisperer for Java developers at JCON 2023Vadym Kazulkin
In this talk I will compare 2 services Github Copilot (including Copilot X) and Amazon CodeWhisperer from the perspective of the Java developers in terms of the quality of the given recommendations for simple tasks, complex algorithms, Spring Boot and AWS development, IDE integration and pricing.
Both services are the machine learning-powered services that help improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code. Based on natural language comments, these services also automatically recommend unit test code that matches your implementation code.
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPTAnant Corporation
Episode 3: The LLM / GPT / AI Prompt / Data Engineer Roadmap
In this episode, we'll discuss the history, fundamentals, and the different flavors of LLMs available, beyond GPT/ChatGPT. This is a dry run of a session that will be on a LLM Bootcamp ( Fill out the survey on the link if you are interested in an in-person vs. virtual session)
Intro / Fundamentals of LLM
LLM Foundations
History of LLMs
Tuning, Training, or "In Context Learning" with LLMs
What is "Prompt Engineering"
Case for Augmenting LLMs
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes? If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
GPT Automation: What it is and How it Works
How Time-Saving GPT Automation Can Improve Your Business
Cost-Effective GPT Automation: How it Can Save Your Business Money
Using GPT Automation for Customer Service: Benefits and Best Practices
The Power of GPT Automation for Content Creation
Data Analysis Made Easy with GPT Automation
Top GPT-3 Automation Tools for Businesses
The Ethical Considerations of GPT Automation
Overcoming Bias in GPT Automation: Best Practices
The Future of GPT Automation: Trends and Predictions
Since we focus on "no code" here, we'll explore the tools that are already out there such as ChatGPT plugins for Chrome, OpenAI GPT API, low-code/no-code platforms like Make/Integromat and Zapier, existing apps like Jasper/Rytr, and ecosystem tools like Everyprompt. We'll also discuss the resources available for those interested in learning more about GPT, including other people’s prompts.
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.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
[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.
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.
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.
[DSC Europe 23] Marcel Tkacik - Augmented Retrieval Products with GAI modelsDataScienceConferenc1
This session will provide a balanced insight into the technical development and business-centric application of augmented retrieval products, utilizing Generative AI models. We will traverse from requirements engineering to prototyping and user acceptance testing, spotlighting the critical role of optimizing vectorizers for superior smart search functionality within a business ecosystem. A substantial focus will be on demonstrating the deployment of these advanced models on Azure infrastructure, ensuring scalable and efficient solutions. Additionally, the integration of strategic feedback mechanisms will be addressed, essential for perpetually enhancing the quality of answers and aligning products with evolving business goals and user requisites, ultimately fostering refined decision-making and improved business operations.
In April 2015, Apache Geode (incubating) was born from Pivotal’s GemFire, the distributed in-memory database. However, the donation of over 1M LOC was just the beginning of the journey. In this talk we discuss how the GemFire engineering team has adapted their development infrastructure, processes, and culture to embrace the “Apache Way". We present lessons learned and best practices for new and incubating open source projects in areas of initial code submission, IP clearance, governance policies, code review, and community building. We discuss the challenges the team faced and how we changed internal communication and software design processes to a community-driven model. In particular, we highlight effective strategies for growing a project community and embracing new members. Finally, we show how changing to the open source model has increased both productivity and quality.
Some ideas and starting points on how OpenSocial and CMIS may play nice together. It would be nice to get some thoughts here: http://wiki.opensocial.org/index.php?title=Align_CMIS_and_OpenSocial or here: http://groups.google.com/group/opensocial-and-gadgets-spec
How Open Source / Open Technology Could Help On Your ProjectWan Leung Wong
ITFest 2014, Seminar on Free & OSS in HK
How Open Source / Open Technology Could Help On Your Project?
A talk brief to talk about how to use open source or open technology to help on start a new project. How to choose technology, and what should people to concern on.
Mortar: Hadoop-as-a-Service + Open Source Framework | AWS re: Invent public …mortardata
Presentation from AWS re: Invent, where Mortar announced it's public availability on stage.
Mortar facilitates Hadoop data development in two parts: an open source data development framework (like Rails for Hadoop) and a PaaS (like Heroku for Hadoop). The open source framework allows for sharing/repeating/maintaining code history, automated testing, and one-button deploy. The PaaS provides high availability execution, full job history, and helps users identify problems.
20240104 HICSS Panel on AI and Legal Ethical 20240103 v7.pptxISSIP
20240103 HICSS Panel
Ethical and legal implications raised by Generative AI and Augmented Reality in the workplace.
Souren Paul - https://www.linkedin.com/in/souren-paul-a3bbaa5/
Event: https://kmeducationhub.de/hawaii-international-conference-on-system-sciences-hicss/
Web Application Security And Getting Into Bug Bountieskunwaratul hax0r
This PPT is focused on how to begin into bug bounty programs, what approach you should follow and what are the major things you should look before begin.
Explore the cutting-edge of AI and search technology with Udaiappa Ramachandran (Udai), CTO/CSO of Akumina Inc. and Microsoft Azure MVP, in his presentation 'RAG Patterns and Vector Search in Generative AI'. This comprehensive overview covers the essentials of Keyword and Vector Search, highlighting their strengths and limitations. Udai brilliantly introduces Hybrid Search, combining the best of both worlds for enhanced accuracy and relevance. Real-world applications in companies like Amazon, Google, and Netflix illustrate the practical implications of these technologies. The presentation also delves into the mechanics of cosine similarity and explores various vector databases, providing a well-rounded understanding of current AI search technologies. Ideal for professionals and enthusiasts in the AI and search technology fields, this presentation offers a glimpse into the future of intelligent search solutions.
In "Level Up Your Security Using Intune," Udaiappa Ramachandran, an expert in cloud technologies, presents a detailed guide on using Microsoft Intune for enhancing mobile application and device security. The presentation covers two main integration strategies: the Intune SDK, which provides fine-grained control, customization, and long-term maintainability, and the Intune App Wrapper, suitable for legacy apps and rapid prototyping with some feature limitations. Udaiappa's talk, aimed at modern developers, emphasizes the importance of robust mobile security and showcases Intune's capabilities in managing both corporate-owned devices and BYOD scenarios, underlining its critical role in contemporary digital security management.
Semantic Kernel, an open-source SDK, streamlines the integration and orchestration of AI models, supporting a diverse range of languages like C#, Python, and Java. It offers a suite of tools for AI application development, including specialized plugins for extending functionalities and planners for automating complex workflows and improving efficiency. A key feature of Semantic Kernel is its focus on memory and context management, enhancing AI agent performance and understanding. The copilot feature stands out for its real-time user interaction capabilities and its seamless integration with existing systems. Aimed at facilitating the development of sophisticated AI-driven applications, Semantic Kernel provides comprehensive support for task automation, model integration, and responsible AI practices, backed by extensive documentation and community support on Microsoft's platforms and GitHub repositories.
The presentation "Semantic Kernel" covers the Semantic Kernel, an open-source Software Development Kit (SDK) for AI model integration and agent development. It discusses key concepts like plugins, planners, personas, and co-pilots in AI applications, emphasizing their roles in task automation and AI orchestration. The presentation highlights features such as prompt engineering, AI memory management, and embedding storage for enhanced AI performance. It also outlines steps for building AI agents using Semantic Kernel, integrating AI models, and managing memory and context. Additionally, the importance of real-time assistance and user feedback in enhancing AI interactions is discussed, along with supported languages for the Semantic Kernel SDK.
.NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework.
In the PowerPoint presentation about Azure Synapse, we begin by introducing Azure Synapse as an integrated analytics service, emphasizing its role in unifying big data and data warehousing. Key features such as unlimited information processing, querying of both relational and non-relational data, and integration with AI and BI capabilities are highlighted. The presentation delves into the architecture of Azure Synapse, illustrating how it interconnects with Azure Data Lake, Power BI, and Azure Machine Learning. We explore its robust data integration capabilities, including Azure Synapse Pipelines for efficient ETL processes. The discussion then moves to its prowess in analytics and big data processing, supporting various languages like T-SQL, Python, and Scala. The integration of Azure Synapse with AI and machine learning is underscored, showcasing its application in predictive analytics. Security features form a crucial part of the talk, emphasizing data protection and compliance aspects. Real-world use cases demonstrate Azure Synapse's practical applications in business settings. A comparative analysis with other data platforms highlights Synapse's unique benefits. The presentation concludes with guidance on getting started with Azure Synapse, followed by a summary, inviting audience questions and providing contact information for further engagement.
Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on the creation and utilization of vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with the advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills needed to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies provided by Azure OpenAI.
Key less access to Azure Services using AD Authentication using Managed Identity, User Managed Identity or Service Principal. Some samples include Cosmos DB, Azure Storage, Application Insight, Key Vault, etc.,
Fast, distributed NoSQL and relational database at any scale. This contains many features including Partition and Indexes,
Data movement, Change Feed
Integration (Azure Functions and Search), Consistency Models, Replication and Multi-write, etc.,
.NET 7 is the latest version of .NET that was released in Nov 2022. .NET 7 ecosystem offers simplifications on development, high performance, and ultimate productivity.
Azure DevOps provides developer services for allowing teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.
Azure Billing features are used to review your invoiced costs and manage access to billing information. In larger organizations, procurement and finance teams usually conduct billing tasks.
Billing is the process of invoicing customers for goods or services and managing the commercial relationship.
Cost Management shows the organizational cost and usage patterns with advanced analytics. Azure Portal let you manage both Billings and cost management for all your accounts.
.NET 6 is the latest version of .NET that was released in Nov 2021. .NET 6 ecosystem offers simplifications on development, high performance, and ultimate productivity.
Azure Automation delivers cloud-based automation, operating system updates, and configuration service that supports consistent management across your Azure and non-Azure environments. It includes process automation, configuration management, update management, shared capabilities, and heterogeneous features.
Azure Static Web Apps allows you to develop modern full-stack web apps quickly and easily with a static front-end and dynamic back end powered by Serverless APIs with custom routing, security including authentication/authrization, custom domains, private endpoint, etc. Azure Static Web Apps offers cost-effective pricing from hobby to production apps.
Azure Private Link provides private connectivity from a virtual network to Azure platform as a service (PaaS), customer-owned, or Microsoft partner services.
Azure Security Center provides security posture management and threat protection for your hybrid cloud workloads. Cloud Security Posture Management includes Policies, initiatives, recommendations, secure scores, and security controls. Cloud Workload Protection protects threats against servers, cloud-native workloads, databases, and storage security alerts and incidents.
Azure SignalR Service simplifies the process of adding real-time web functionality to applications over HTTP. Eliminates the need for polling and provides high availability, resiliency, and disaster recovery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. About me
• Udaiappa Ramachandran ( Udai )
• CTO/CSO-Akumina, Inc.
• Microsoft Azure MVP
• Cloud Expert
• Microsoft Azure, Amazon Web Services, and Google
• New Hampshire Cloud User Group (http://www.meetup.com/nashuaug )
• https://udai.io
3. Agenda
• Explore ChatGPT and Generative AI
• OpenAI APIs
• Real-world applications
• CoPilot
• Demo…Demo…Demo…
4. ChatGPT
• Chat Generative Pre-trained Transformer
• GPT-3.5 , GPT 4
• GPT is an AI system but not AGI
• Reached 100M users in 2 months
• Trained on massive data set like news articles, scholarly articles, Wikipedia,
research papers, books, documentation, public code repository
• Doesn’t do an internet search for answers, instead predicts answers based on its
training data
• Reinforcement Learning from Human Feedback (RHLF)
• InstructGPT
5. GPT3 Vs GPT4 by ChatGPT
GPT3-released in 2020
GPT3.5 – released in 2022 (175 billion parameters,
largest neural network), optimized for speed
GPT4 – released on March 14, 2023 (process about
25000 words, images and much more nuance than
GPT3), it accepts image and text inputs and outputs as
text. Excels at tasks that require advanced reasoning,
complex instruction, understanding and more creativity
6. AI vs AGI
Feature Artificial Intelligence (AI) Artificial General Intelligence (AGI)
Definition
Specialized intelligence designed to perform
specific tasks
Human-like intelligence capable of understanding and
learning any intellectual task
Scope Narrow, focused on specific domains or tasks
Broad, encompasses a wide range of domains and
tasks
Learning Ability Limited to the specific tasks it was trained for
Capable of learning and adapting to new tasks and
situations
Generalization Struggles to generalize beyond its training data
Able to generalize and transfer knowledge across
domains
Creativity Limited creativity within its specialized domain
Possesses the ability to think creatively and solve
complex problems
Autonomy Requires human input and guidance for new tasks
Can operate autonomously and make decisions
independently
Context
Understanding
Limited understanding of context and common
sense
Can understand and apply context and common sense
Problem Solving Effective in solving specific, well-defined problems Capable of solving abstract and complex problems
Emotional Intelligence
Lacks the ability to understand and respond to
emotions
Can potentially understand and respond to human
emotions
Ethical Considerations
Primarily concerns misuse and unintended
consequences
Includes concerns about control, safety, and impact on
humanity
7. Getting Started
• Browser Vs Mobile App
• Signup ChatGPT Free or ChatGPT Plus (for more features and availability)
• Signup for API subscription
• Playgrounds
• https://chat.openai.com/chat
• https://labs.openai.com/
• https://platform.openai.com/playground
• https://ecrettmusic.com/play
9. Real world application ideas
• Chat and conversation interactions
• Chat and conversation creation
• Code generation or transformation
• Automation
• Journalistic content
• Question-answering
• Reason over structured and unstructured data
• Search
• Summarization
• Writing assistance on specific topics
• Daily workflows
• Language translation
• Customer service chatbots
10. Copilot
• GitHub Copilot uses the OpenAI Codex to suggest code and entire functions
in real-time, right from your editor.
• Trained on billions of lines of code, GitHub Copilot turns natural language
prompts into coding suggestions across dozens of languages.
• Extensions
• Visual Studio
• Visual Studio Code
• JetBrain
• Niovim
https://github.com/features/copilot/
11. Getting Started
• Signup Copilot for individual or Business
• Comes with 60 days free trial
• Install Copilot extension for the IDE
• Keyboard Shortcuts
• ESC – Dismiss Copilot
• TAB – Accept suggestion
• ALT+] – Next suggestion
• ALT+[ - Previous suggestion
• CTRL+ENTER – See 10 suggestions
13. Thanks for your time and trust!
New Hampshire CLOUD .NET User Group
Editor's Notes
LLM – large language model
GPT3-released in 2020
GPT3.5 – released in 2022 (175 billion parameters, largest neural network)
GPT4 – released on March 14, 2023 (process about 25000 words, images and much more nuance than GPT3)
Time to reach 100M active users
Instagram -30 months
TikTok-9 months
ChatGPT – 2 months
Chat Generative pre-defined transformer
A generative AI language model that interacts in a conversational way
-a type of generative AI that creates new content
Massively popular in a short time, with the potential to disrupt how we work, learn and interact
Generative AI
any type of AI that can be used to create new text, images, video, audio, code or synthetic data
ecrettmusic.com/play
discriminative AI (ex., image recognition, is this transaction fraudulent)
ChatGPT capabilities
conversations and memory
providing corrections and feedback
ChatGPT limitations
recency of data
it give incorrect anwers; always verify
trained to not answer biased or inappropriate questions
LLM – large language model
GPT3-released in 2020
GPT3.5 – released in 2022 (175 billion parameters, largest neural network)
GPT4 – released on March 14, 2023 (process about 25000 words, images and much more nuance than GPT3), it accepts image and text inputs and outputs as text
Keep in mind that AGI is still a theoretical concept and has not been achieved yet. The differences listed here are based on the current understanding of what AGI could be compared to existing AI technology.
Intelligent system but different levels of capability and learning
AI is based on human cognition (cognitive abilities using training data sets and supervised learning) but it can only perform specific tasks that are already programmed
AGI is more of intellectual learning that can perform any task to the standard of a human or better, and adapt to new domains and circumstances. AGI is also known as true AI, strong AI or full AI
https://openai.com/
https://platform.openai.com/docs/api-reference
https://api.openai.com/v1/models/
https://api.openai.com/v1/models/gpt-3.5-turbo
https://api.openai.com/v1/engines
https://api.openai.com/v1/engines/{engine_id}
https://api.openai.com/v1/completions
{
"model": "text-davinci-003",
"prompt": "Say this is a test",
"max_tokens": 7,
"temperature": 0
}
https://api.openai.com/v1/chat/completions
{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}
https://api.openai.com/v1/edits
{
"model": "text-davinci-edit-001",
"input": "What day of the wek is it?",
"instruction": "Fix the spelling mistakes"
}
https://api.openai.com/v1/images/generations
{
"prompt": "A cute baby sea otter",
"n": 2,
"size": "1024x1024"
}
https://api.openai.com/v1/images/edits
{
"prompt": "A cute baby sea otter",
"n": 2,
"size": "1024x1024",
"image":"village.png"
}
Chat and conversation interaction: Users can interact with a conversational agent that responds with responses drawn from trusted documents such as internal company documentation or tech support documentation; conversations must be limited to answering scoped questions. Available to internal, authenticated external users, and unauthenticated external users.
Chat and conversation creation: Users can create a conversational agent that responds with responses drawn from trusted documents such as internal company documentation or tech support documentation; conversations must be limited to answering scoped questions. Limited to internal users only.
Code generation or transformation scenarios: For example, converting one programming language to another, generating docstrings for functions, converting natural language to SQL. Limited to internal and authenticated external users.
Journalistic content: For use to create new journalistic content or to rewrite journalistic content submitted by the user as a writing aid for pre-defined topics. Users cannot use the application as a general content creation tool for all topics. May not be used to generate content for political campaigns. Limited to internal users.
Question-answering: Users can ask questions and receive answers from trusted source documents such as internal company documentation. The application does not generate answers ungrounded in trusted source documentation. Available to internal, authenticated external users, and unauthenticated external users.
Reason over structured and unstructured data: Users can analyze inputs using classification, sentiment analysis of text, or entity extraction. Examples include analyzing product feedback sentiment, analyzing support calls and transcripts, and refining text-based search with embeddings. Limited to internal and authenticated external users.
Search: Users can search trusted source documents such as internal company documentation. The application does not generate results ungrounded in trusted source documentation. Available to internal, authenticated external users, and unauthenticated external users.
Summarization: Users can submit content to be summarized for pre-defined topics built into the application and cannot use the application as an open-ended summarizer. Examples include summarization of internal company documentation, call center transcripts, technical reports, and product reviews. Limited to internal, authenticated external users, and unauthenticated external users.
Writing assistance on specific topics: Users can create new content or rewrite content submitted by the user as a writing aid for business content or pre-defined topics. Users can only rewrite or create content for specific business purposes or pre-defined topics and cannot use the application as a general content creation tool for all topics. Examples of business content include proposals and reports. May not be selected to generate journalistic content (for journalistic use, select the above Journalistic content use case). Limited to internal users and authenticated external users.
Data Practitioners
Automation
Content Creation
Writing code
Daily workflows