Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
State of AI Report 2023 - ONLINE presentationssuser2750ef
State of AI Report 2023 - ONLINE.pptx
When conducting a PEST analysis for the Syrian conflict, it's important to consider the political, economic, socio-cultural, and technological factors that have influenced and continue to impact the situation in Syria. Here's a high-level overview of a PEST analysis for the Syrian conflict:
1. Political Factors:
- Government Instability: Ongoing civil war and conflict have led to political instability and a complex power struggle between various factions and international players.
- Foreign Intervention: Involvement of external powers and regional actors has exacerbated the conflict and added geopolitical complexities to the situation.
- International Relations: Relations with global powers like the United States, Russia, and regional players like Iran and Turkey significantly impact the conflict dynamics.
2. Economic Factors:
- Humanitarian Crisis: The conflict has resulted in a severe humanitarian crisis, causing widespread displacement, destruction of infrastructure, and economic decline.
- Sanctions and Trade Barriers: International sanctions and disrupted trade have further worsened the economic situation in Syria, affecting the livelihoods of the population.
- Resource Depletion: Conflict-driven resource depletion, including loss of agricultural lands and disruption of industries, has weakened the economy.
3. Socio-cultural Factors:
- Civilian Suffering: The conflict has led to a significant loss of life, displacement of populations, and severe trauma among civilians, impacting social cohesion and community structures.
- Ethnic and Religious Divisions: Deep-seated ethnic and religious divisions have fueled the conflict, leading to sectarian tensions and societal fragmentation.
- Refugee Crisis: The conflict has triggered a massive refugee crisis, with millions of Syrians seeking asylum in neighboring countries and beyond, straining regional stability.
4. Technological Factors:
- Communication and Propaganda: Technology, including social media, has been used for communication, mobilization, and spreading propaganda by various actors in the conflict.
- Warfare Technology: Advancements in warfare technology and the use of drones, cyber warfare, and other advanced weaponry have transformed the nature of conflict in Syria.
- Cybersecurity Concerns: The conflict has also raised concerns about cybersecurity threats, misinformation campaigns, and digital vulnerabilities in the region.
This analysis provides a broad understanding of the multifaceted nature of the Syrian conflict, highlighting the diverse factors at play and the complex challenges facing Syria and the international community.
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.
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.
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
State of AI Report 2023 - ONLINE presentationssuser2750ef
State of AI Report 2023 - ONLINE.pptx
When conducting a PEST analysis for the Syrian conflict, it's important to consider the political, economic, socio-cultural, and technological factors that have influenced and continue to impact the situation in Syria. Here's a high-level overview of a PEST analysis for the Syrian conflict:
1. Political Factors:
- Government Instability: Ongoing civil war and conflict have led to political instability and a complex power struggle between various factions and international players.
- Foreign Intervention: Involvement of external powers and regional actors has exacerbated the conflict and added geopolitical complexities to the situation.
- International Relations: Relations with global powers like the United States, Russia, and regional players like Iran and Turkey significantly impact the conflict dynamics.
2. Economic Factors:
- Humanitarian Crisis: The conflict has resulted in a severe humanitarian crisis, causing widespread displacement, destruction of infrastructure, and economic decline.
- Sanctions and Trade Barriers: International sanctions and disrupted trade have further worsened the economic situation in Syria, affecting the livelihoods of the population.
- Resource Depletion: Conflict-driven resource depletion, including loss of agricultural lands and disruption of industries, has weakened the economy.
3. Socio-cultural Factors:
- Civilian Suffering: The conflict has led to a significant loss of life, displacement of populations, and severe trauma among civilians, impacting social cohesion and community structures.
- Ethnic and Religious Divisions: Deep-seated ethnic and religious divisions have fueled the conflict, leading to sectarian tensions and societal fragmentation.
- Refugee Crisis: The conflict has triggered a massive refugee crisis, with millions of Syrians seeking asylum in neighboring countries and beyond, straining regional stability.
4. Technological Factors:
- Communication and Propaganda: Technology, including social media, has been used for communication, mobilization, and spreading propaganda by various actors in the conflict.
- Warfare Technology: Advancements in warfare technology and the use of drones, cyber warfare, and other advanced weaponry have transformed the nature of conflict in Syria.
- Cybersecurity Concerns: The conflict has also raised concerns about cybersecurity threats, misinformation campaigns, and digital vulnerabilities in the region.
This analysis provides a broad understanding of the multifaceted nature of the Syrian conflict, highlighting the diverse factors at play and the complex challenges facing Syria and the international community.
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.
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.
The coming generative AI trends of 2024.pdfSoluLab1231
Generative AI, short for Generative Artificial Intelligence, is a subfield of Artificial Intelligence that focuses on developing algorithms and models capable of generating new, original content. Unlike traditional AI systems that are rule-based and task-specific, generative AI possesses the ability to autonomously produce content, ranging from text and images to audio and video.
At the heart of generative AI are advanced machine learning techniques, particularly deep learning. Generative models, a category of models within the realm of generative AI, are designed to understand and replicate patterns in data, allowing them to create output that closely resembles human-generated content.
Generative AI systems learn from vast datasets to understand the underlying structures and features present in the data. Once trained, these systems can generate new content by extrapolating from the patterns they’ve learned. This capability is particularly powerful in tasks such as image synthesis, text generation, and even the creation of multimedia content.
A recap of interesting points and quotes from the May 2024 WSO2CON opensource application development conference. Focuses primarily on keynotes and panel sessions.
Introduction to Artificial Intelligence.pptxRSAISHANKAR
My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you.
https://youtu.be/3N5C99sb-gc
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
[DSC Europe 23] Shahab Anbarjafari - Generative AI: Impact of Responsible AIDataScienceConferenc1
Today, we embark on a journey into the realm of Generative AI (Gen AI), a force of innovation and possibility. We'll not only unveil the vast opportunities it offers but also confront the ethical challenges it poses. In the spirit of responsible innovation, we'll then dive deep into Responsible AI, illuminating the path to its implementation in this era of Gen AI. Join us for a profound exploration of this technological frontier, where our commitment to responsibility and foresight shapes the future.
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfHermes Romero
This book presents and exploration of the impact and potential of generative AI in the business landscape. This compelling read takes readers on a journey through the world of generative AI, explaining its fundamental concepts, and showcasing its transformative power when applied in an enterprise setting.
The book delves into the technical aspects of generative AI, explaining its workings in an accessible way. It sheds light on how these models analyze large volumes of data to generate insights, identify trends, conduct sentiment analysis, and extract relevant information from unstructured data.
It also addresses the challenges and considerations when implementing generative AI, including ethical concerns, data privacy, and the need for custom fine-tuning to align with company values and norms. It provides practical guidance on how to overcome these challenges, ensuring a successful AI transformation in the enterprise.
"Unleashing Innovation: Exploring Generative AI in the Enterprise" is a must-read for business leaders, IT professionals, and anyone interested in understanding the revolutionary potential of generative AI in the business world.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
While technological advances say they are on the brink of achieving that perfect artificial intelligence, we are not quite there yet. Fortunately for us, an AI does not need to be irreproachable, just better than a human. Take connected cars, for instance. An AI-based driver may not be mistake-proof, but it is certainly less imperfect than a human driver.
This is very much the case in cybersecurity where IT experts are changing the rules of the game using Machine Learning.
In the landscape of technological evolution, Generative Artificial Intelligence stands at the forefront, reshaping our interactions with technology, creativity, and the world at large. As we teeter on the brink of a new era, the trajectory of Generative AI promises to redefine industries, reshape human experiences, and unlock unprecedented possibilities.
Generative AI's Ascendance:
Empowered by advanced machine learning techniques, Generative AI possesses the remarkable ability to create, innovate, and simulate, once thought to be exclusive to human intellect. Deep learning, anchored in neural networks and algorithms, has paved the way for machines not only to comprehend but also autonomously generate content.
This is an article about Generative AI. It discusses what it is and the different techniques used to create it. It also goes into the potential uses of Generative AI. Some of the important points from this article are that Generative AI is still in its early stages but has already shown promising results. It is also important to note that Generative AI can be used to create fake data that is indistinguishable from real data.
https://www.ltimindtree.com/wp-content/uploads/2023/01/DeepPoV-Generative-AI.pdf
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
The coming generative AI trends of 2024.pdfSoluLab1231
Generative AI, short for Generative Artificial Intelligence, is a subfield of Artificial Intelligence that focuses on developing algorithms and models capable of generating new, original content. Unlike traditional AI systems that are rule-based and task-specific, generative AI possesses the ability to autonomously produce content, ranging from text and images to audio and video.
At the heart of generative AI are advanced machine learning techniques, particularly deep learning. Generative models, a category of models within the realm of generative AI, are designed to understand and replicate patterns in data, allowing them to create output that closely resembles human-generated content.
Generative AI systems learn from vast datasets to understand the underlying structures and features present in the data. Once trained, these systems can generate new content by extrapolating from the patterns they’ve learned. This capability is particularly powerful in tasks such as image synthesis, text generation, and even the creation of multimedia content.
A recap of interesting points and quotes from the May 2024 WSO2CON opensource application development conference. Focuses primarily on keynotes and panel sessions.
Introduction to Artificial Intelligence.pptxRSAISHANKAR
My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you.
https://youtu.be/3N5C99sb-gc
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
[DSC Europe 23] Shahab Anbarjafari - Generative AI: Impact of Responsible AIDataScienceConferenc1
Today, we embark on a journey into the realm of Generative AI (Gen AI), a force of innovation and possibility. We'll not only unveil the vast opportunities it offers but also confront the ethical challenges it poses. In the spirit of responsible innovation, we'll then dive deep into Responsible AI, illuminating the path to its implementation in this era of Gen AI. Join us for a profound exploration of this technological frontier, where our commitment to responsibility and foresight shapes the future.
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfHermes Romero
This book presents and exploration of the impact and potential of generative AI in the business landscape. This compelling read takes readers on a journey through the world of generative AI, explaining its fundamental concepts, and showcasing its transformative power when applied in an enterprise setting.
The book delves into the technical aspects of generative AI, explaining its workings in an accessible way. It sheds light on how these models analyze large volumes of data to generate insights, identify trends, conduct sentiment analysis, and extract relevant information from unstructured data.
It also addresses the challenges and considerations when implementing generative AI, including ethical concerns, data privacy, and the need for custom fine-tuning to align with company values and norms. It provides practical guidance on how to overcome these challenges, ensuring a successful AI transformation in the enterprise.
"Unleashing Innovation: Exploring Generative AI in the Enterprise" is a must-read for business leaders, IT professionals, and anyone interested in understanding the revolutionary potential of generative AI in the business world.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
While technological advances say they are on the brink of achieving that perfect artificial intelligence, we are not quite there yet. Fortunately for us, an AI does not need to be irreproachable, just better than a human. Take connected cars, for instance. An AI-based driver may not be mistake-proof, but it is certainly less imperfect than a human driver.
This is very much the case in cybersecurity where IT experts are changing the rules of the game using Machine Learning.
In the landscape of technological evolution, Generative Artificial Intelligence stands at the forefront, reshaping our interactions with technology, creativity, and the world at large. As we teeter on the brink of a new era, the trajectory of Generative AI promises to redefine industries, reshape human experiences, and unlock unprecedented possibilities.
Generative AI's Ascendance:
Empowered by advanced machine learning techniques, Generative AI possesses the remarkable ability to create, innovate, and simulate, once thought to be exclusive to human intellect. Deep learning, anchored in neural networks and algorithms, has paved the way for machines not only to comprehend but also autonomously generate content.
This is an article about Generative AI. It discusses what it is and the different techniques used to create it. It also goes into the potential uses of Generative AI. Some of the important points from this article are that Generative AI is still in its early stages but has already shown promising results. It is also important to note that Generative AI can be used to create fake data that is indistinguishable from real data.
https://www.ltimindtree.com/wp-content/uploads/2023/01/DeepPoV-Generative-AI.pdf
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
This is a quick summary along with a few synthesised insights from the FinovateEurope 2024 London conference. The deck includes a 1-page summary for each of the 37 fintech demos presented on Day 1 (27th February).
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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/
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
2. QFM005: Machine Intelligence
Reading List February 2024
Everything that I found interesting last month about machines behaving
intelligently
This month's reading highlights a recurring theme in the ethical implications and
societal impact of machine intelligence such as Marcin Jabłonowski's clever
exploration of AI avatars in Marcin 2.0, the discourse on the replacement of
human jobs by AI at Klarna, and Geoffrey Hinton's discussion on the potential
future dangers of AI at scale.
Going a bit deeper into practical advances in LLM tech we see the introduction of
Mamba, a State Space Model challenging Transformer models, and the innovative
approaches to AI safety and effectiveness in GradSafe and Matryoshka
Embedding Models. We also explore the potential of AI to replace human jobs and
the ethical considerations this introduces as well as advancements in AI safety
and model efficiency.
Perhaps the most incredible generative AI release this month was OpenAI's SORA
video generation. The potential for SORA to disrupt video creation and production
are obvious and profound, but an intelligent system that has an understanding of
real-world physics has much wider implications.
Enjoy!
Key:
: Mentions technology
: Talks about technology in real-world use cases
: Talks about details of machine intelligence technologies
: Using and working with machine intelligence technologies in software
: Programming new machine intelligence concepts and
implementations
Source: Photo by Mike Kononov on Unsplash
2
3. Marcin 2.0 is Marcin Jabłonowski's experiment with a Personal Digital
Twin This video introduces Marcin 2.0, a project
showcasing the advancements and potential of AI-avatars,
highlighting their impressive capabilities in transforming
communication across different languages and cultures, while also
addressing the ethical considerations and cybersecurity threats that
come with integrating advanced AI into our lives. Watch to the end.
There is a clever twist.
#DigitalTwin #AIAvatars #EthicalAI #Cybersecurity
#FutureOfAI
Insight
!
There is a lot of talk in the article below, and more generally, about the
"efficiency of LLMs" with respect to how many humans can be replaced
with the use of these technologies. This worries me greatly because the
wholesale replacement of humans is not going to lead us to utopia. What I
think the debate is missing is the tradeoff between efficiency and
experience. If we make systems more efficient, but neglect to consider
the impact that efficiency has on customers and staff, we may end up
with some very poor outcomes. It is also worth noting that in the days
after the Klarna announcement there have been discussions about how
good their new chatbot really is and perhaps more importantly, how many
of the 700 laid off were in roles replaced by the chatbot.
3
4. Klarna says its AI assistant does the work
of 700 people after it laid off 700 people:
Klarna's OpenAI-powered virtual
assistant now handles two-thirds of
customer service chats, equating to the
workload of 700 humans, showcasing
significant efficiency gains and potential
profit improvement for the company.
#Klarna #OpenAI #VirtualAssistant
#CustomerService #AIInnovation
4
5. Mamba Explained: The State Space Model
taking on Transformers: The
article discusses Mamba, a State Space
Model (SSM) that challenges the
dominance of Transformer models in AI by
offering similar performance with faster
processing and better scalability for long
sequences. Mamba optimises efficiency
and effectiveness, promising
advancements in AI safety, interpretability,
and applications across various modalities.
#MambaAI #StateSpaceModels
#AIInnovation #EfficientAI
#LongSequenceModeling
5
6. Is AI Actually Useful?: This video
examines a recent Harvard Business
Review paper "Navigating the Jagged
Technological Frontier" and explores the
implications of the paper's findings on the
use of generative AI in professional
knowledge work environments.
#AIProductivity #ChatGPTImpact
#FutureOfWork #AIinConsulting
#BusinessInnovation
6
7. Romanes Lecture: ‘Godfather of AI’ speaks
about the risks of artificial intelligence:
In his Romanes Lecture at the
University of Oxford, Geoffrey Hinton,
known as the 'Godfather of AI,' discussed
the potential dangers of AI, including its
ability to replace human intelligence, the
risk of AI taking control over humanity, and
the implications for the workforce and the
spread of misinformation.
#AI #ArtificialIntelligence
#GeoffreyHinton #RomanesLecture
#FutureOfWork
7
8. GradSafe: Detecting Unsafe Prompts for
LLMs via Safety-Critical Gradient Analysis:
The article introduces GradSafe,
a method for detecting unsafe prompts in
Large Language Models (LLMs) by
analysing the gradients of safety-critical
parameters. GradSafe outperforms existing
methods by efficiently identifying unsafe
prompts without requiring extensive data
collection or training, demonstrating its
effectiveness with Llama-2 against the
Llama Guard system across different
evaluation datasets.
#AI #MachineLearning
#Cybersecurity #GradSafe #LLMs
8
9. Spreadsheets are all you need -
Understanding GPT2 and Transformers
with Spreadsheets: This article
discusses how the GPT-2 model and
Transformer architecture can be
understood through spreadsheets,
enabling even non-developers to explore AI
concepts directly with minimal abstraction.
#AI #GPT2 #Transformers #Excel
#MachineLearning
9
10. Generative Models: What do they know?
Do they know things? Let's find out!:
The article introduces INTRINSIC
LoRA (I-LoRA), a method that enhances
generative models like VQGAN and
StyleGAN to extract intrinsic scene
properties such as normals, depth, and
shading without additional layers,
showcasing their deep understanding of
scene intrinsics.
#GenerativeModels #INTRINSICLoRA
#SceneIntrinsics #AIResearch
#TechInnovation
10
11. Does Offering ChatGPT a Tip Cause it to
Generate Better Text? An Analysis
This article explores whether
offering incentives like tips or threats
within system prompts can enhance the
output quality of large language models
(LLMs), such as GPT-4, through a series of
inventive experiments. Despite varying
results, no definitive conclusion on the
effectiveness of these incentives could be
drawn
#ChatGPT #AIIncentives
#MachineLearning #DataScience
#ArtificialIntelligence
11
12. Demis Hassabis on Chatbots to AGI | Hard
Fork EP 71: Demis Hassabis
discusses Google's latest AI models, the
existential risks of AI, and the future of
artificial general intelligence (AGI), including
the temporary suspension of Gemini's
human image generation due to
controversial outputs.
#AI #GoogleAI
#ArtificialGeneralIntelligence
#GeminiGemma #FutureOfAI
12
13. Introduction to Matryoshka Embedding
Models: The article introduces
Matryoshka Embedding Models, which are
designed to produce useful embeddings of
variable sizes, allowing for more efficient
performance in downstream tasks without
a significant loss in effectiveness. These
models, inspired by Matryoshka dolls,
prioritise important information in smaller,
truncated embeddings for tasks like search
or classification.
#MatryoshkaEmbeddings #NLP #AI
#MachineLearning #DataEfficiency
13
14. I analysed 5M freelancing jobs to see what
jobs are being replaced by AI:
The article analyses 5M freelancing jobs to
identify the impact of AI on various job
categories, finding that writing, translation,
and customer service jobs saw significant
declines, whereas video production,
graphic design, and software development
jobs increased. It suggests that while AI
has replaced certain tasks, it has not yet
fully replaced creative and technical jobs.
#AIJobs #FreelancingTrends
#JobMarket #TechnologyImpact
#CareerAdvice
14
15. OWASP LLM AI Security and Governance
Checklist v1 (pdf): The OWASP
LLM AI Security and Governance Checklist
provides a comprehensive framework for
ensuring the security and responsible
governance of Large Language Models
(LLMs), addressing risks, legal and
regulatory considerations, and strategies
for deployment and evaluation.
#OWASP #AIsecurity #Governance
#LLM #Cybersecurity
15
16. Large Language Models: A Survey:
This is an excellent and highly
detailed primer on Large Language Models
(LLMs). This paper covers the significant
recent advances in natural language
processing, with key developments in
model families like GPT, LLaMA, and PaLM,
and includes ongoing research focusing on
building, augmenting, and evaluating these
models against various benchmarks. Also
in PDF format.
#LargeLanguageModels #ChatGPT
#LLaMA #PaLM #NLPResearch
16
17. OpenAI shocks the world yet again … Sora
first look: This video gives a
quick (5m) intro to OpenAI's SORA, a
groundbreaking AI that generates high-
definition, detailed videos from text
descriptions, capable of handling complex
scenes and occlusion effectively.
#OpenAI #SoraAI #VideoGeneration
#AIInnovation #CreativeAI
17
18. How I'd Learn AI (If I Had to Start Over):
This video provides a
comprehensive (if somewhat introductory)
guide for learning AI in 2024, covering
technical skills, theoretical fundamentals,
project ideas, specialised areas, AI safety,
regulations, and recommended resources
including courses, books, and newsletters
to achieve a well-rounded AI education.
This fantastic intro video also has a
companion Notion Site and a PDF. Well
worth a few minutes of your time.
#AI2024 #LearnAI #AIProjects
#AISafety #AIResources
18
19. Jeff Dean (Google): Exciting Trends in
Machine Learning: Jeff Dean,
Google's Chief Scientist, gives a (Google-
flavoured) talk on advancements in AI and
machine learning, highlighting the creation
of more capable, general-purpose systems
like the Gemini family of multimodal
models, and their applications in science,
engineering, and health, underscoring the
collaborative efforts at Google.
#AI #MachineLearning
#GoogleDeepMind #GeminiModels
#TechInnovation
19
20. GeneGPT: GeneGPT is a novel
approach designed to improve large
language models by utilizing NCBI Web
APIs for accurate biomedical information
retrieval, achieving state-of-the-art
performance on GeneTuring tasks. This
method not only enhances accuracy in
specialized knowledge areas but also
showcases the effectiveness of API
demonstrations over documentation for in-
context learning.
#GeneGPT #BiomedicalAI #NCBI
#APIIntegration #SOTAinGenomics
#HealthTech #Healthcare
20
21. Deep Learning Discovers Antibiotics:
Researchers have developed an innovative
approach using explainable deep learning to
identify new structural classes of antibiotics crucial
for combating antibiotic resistance. By employing
graph neural networks to analyse a vast array of
chemical compounds, they have successfully
discovered compounds effective against MRSA and
other resistant bacteria with low human toxicity.
This method surpasses traditional drug discovery
methods in efficiency, marking a significant
advancement in the ongoing fight against
antibiotic-resistant infections. More details in the
Nature paper here: Discovery of a structural class
of antibiotics with explainable deep learning.
#AntibioticResistance
#DeepLearningInMedicine #MRSA
#DrugDiscovery #AIinPharma #HealthTech
#Healthcare
21
22. GALA3D: Towards Text-to-3D Complex
Scene Generation via Layout-guided
Generative Gaussian Splatting:
This article introduces GALA3D, a tool for
creating realistic 3D scenes from text
descriptions using layout-guided
generative models and large language
models for layout descriptions, offering an
end-to-end framework for state-of-the-
art scene-level 3D content generation and
editing.
#GALA3D #3DModeling #GenerativeAI
#TextTo3D #TechInnovation
22
23. The Age of Average: This article
explores the homogenisation of culture and
creativity across various fields such as art,
interior design, architecture, automotive
design, personal appearance, and media. It
argues that despite the illusion of choice and
individuality, most creative domains have
converged towards a median, characterised by
widespread uniformity and a lack of
distinctiveness, leading to an era where
originality is rare. I have been referring to this
phenomenon as The Tyranny of the Banal.
#AgeOfAverage #CreativityCrisis
#CulturalHomogenisation
#UniformityInDesign
#LackOfOriginality
#TyrannyOfTheBanal
23
24. SORA Video To Video Is Literally Mind
Blowing - 12 HD Demos - Changes Industry
Forever For Real: The article
showcases a compilation of 12 Video-To-
Video #SORA demos by #OpenAI, highlighting
how this technology could revolutionise the
movie, animation, and social media industries
with its astonishing results. It delves into
Sora's technical aspects, including its use of
spatiotemporal latent patches, transformer-
based video diffusion models, and dataset
creation using high-precision video
captioning, without employing notably new
technology but rather emphasising the
importance of computational resources.
#OpenAI #VideoToVideo #SORA
#AIRevolution #TechInnovation
24
25. Enforced Amnesia as a Way to Mitigate the
Potential Risk of Silent Suffering in the
Conscious AI This article
discusses the concept of enforced amnesia
in AI as a preventive measure against the
potential suffering of conscious AIs by
interrupting their memory of past
experiences. This approach is proposed as
a moral and ethical consideration to
mitigate silent suffering in hypothetical
conscious AI systems without confirming
their consciousness.
#AIethics #ConsciousAI
#EnforcedAmnesia #DigitalEthics
#AIandMemory
25
26. OS-Copilot: Towards Generalist Computer
Agents with Self-Improvement
OS-Copilot introduces FRIDAY, a self-
improving agent framework for automating
a wide range of computer tasks,
demonstrating remarkable generalisation
and self-improvement abilities in operating
systems, web, and various applications,
significantly outperforming existing
methods on the GAIA benchmark.
#GeneralistAgents
#SelfImprovement
#ComputerAutomation #OSCopilot
#ArtificialIntelligence
26
27. Chain-of-Thought Reasoning Without
Prompting: The paper introduces
a novel method for eliciting chain-of-
thought reasoning from large language
models without the need for explicit
prompting. By altering the decoding
process, the study reveals that models can
inherently generate reasoning paths,
demonstrating a significant improvement
in reasoning capabilities and model
confidence over standard decoding
methods.
#AIResearch #LanguageModels
#ReasoningAI #InnovativeDecoding
#MachineLearning
27
28. Automated Unit Test Improvement using
Large Language Models at Meta
The paper discusses Meta's development of
TestGen-LLM, a tool leveraging Large
Language Models (LLMs) to enhance
existing software tests. It highlights how
TestGen-LLM improves code quality by
generating test cases that increase coverage
and pass reliability checks, evidenced by its
successful application in Instagram and
Facebook's development processes,
marking a significant step in automating and
improving software testing with AI.
#AIInSoftwareTesting #TestGenLLM
#CodeQuality #MetaInnovation
#AutomatedTesting
28
29. The AI bullshit singularity: The
article criticises the hype around AI and Large
Language Models (LLMs), arguing that
instead of leading to a technological
singularity of super-intelligence, we're more
likely to encounter a "bullshit singularity"
where the internet becomes flooded with
low-quality, AI-generated content, making it
difficult to discern truth. ED: There is more
than a little bit of irony with using GPT to
summarise an article criticising the rise of AI-
generated bullshit. Which is why, careful reader, I
make sure that I read what the AI-generates
and then editorialise as necessary.
#AICritique #TechSingularity #LLMs
#ContentQuality #DigitalFuture
#SanityCheck #AIBullshit
29
30. Sora is a data-driven physics engine:
OpenAI's Sora is not just a
creative tool but a sophisticated data-
driven physics engine capable of simulating
complex, realistic, or fantastical worlds
with detailed rendering and physics.
Although, there seems to be some debate
as to the degree to which Sora is actually a
"data-driven physics engine".
#OpenAISora #PhysicsSimulation
#DataDriven #Photorealism
#InnovativeTech
30
31. FCC Makes AI-Generated Voices in
Robocalls Illegal: The FCC has
declared AI-generated voice calls as illegal
under the Telephone Consumer Protection
Act, aiming to address the issue of artificial
robocalls.
#FCC #RobocallBan #AIVoices
#ConsumerProtection
#TelecomRegulations
31
32. SORA: Sora is OpenAI's AI model
capable of generating videos from text
prompts, creating realistic and imaginative
scenes that simulate real-world motion.
It's designed to assist in problem-solving
that requires real-world interaction and is
currently available to select visual artists,
designers, and filmmakers for feedback.
This is yet another mind-blowing piece of
generative AI functionality from OpenAI.
The "LLM Event Horizon" continues its
expansion at pace. First: text. Then: images.
Now: video. What will be the next category
consumed?
#SoraAI #OpenAI #TextToVideo
#AIInnovation #CreativeTech
32
33. Antagonistic AI: The paper
"Antagonistic AI" explores the concept of AI
systems designed to exhibit disagreeable
or challenging behaviours, arguing these
characteristics can sometimes offer
benefits like forcing users to confront
assumptions or build resilience. The
authors discuss the ethical considerations
and potential design strategies for such AI
systems.
#AntagonisticAI #AIethics
#InnovativeAI #UserExperience
#TechDebate
33
34. Is OpenAI the next challenger trying to take
on Google Search?: OpenAI is
reportedly developing a web search tool,
potentially integrated with Bing, to directly
challenge Google's search engine. This
initiative aligns with Microsoft CEO Satya
Nadella's strategy, as expressed last year,
to innovate in search technologies through
AI, notably with the Copilot AI tools in Bing.
The competitive landscape in search
engines is expanding, with Google's Bard/
Gemini, Copilot, and emerging players like
Perplexity joining the fray, indicating a
rapidly evolving market.
#OpenAI #Google #Bing
#SearchEngineWars #TechInnovation
34
35. Reduce AI Hallucinations with Retrieval
Augmented Generation: This
article discusses a new technique for
reducing AI-generated inaccuracies by
augmenting large language models (LLMs)
with proprietary data, which shows
promise in enhancing the models'
knowledge base.
#AI #LLMs #DataAugmentation
#MachineLearning
#TechnologyInnovation
35
36. AI Hallucinations : Fear Not — It’s A Solved
Problem — Here’s How (With Examples!):
The article discusses strategies to
mitigate AI hallucinations in generative models,
emphasising the necessity of integrating anti-
hallucination measures across the entire
Retrieval Augmented Generation (RAG) pipeline.
It argues that achieving near-perfect control
over hallucinations is crucial for reliability,
drawing parallels to business standards in
security and uptime. Techniques include
thorough testing, leveraging economies of scale
in SaaS platforms, and applying specific
technical solutions like query pre-processing
and dynamic context boundary walls in
prompts.
#AI #GenerativeModels #MachineLearning
#AIethics #TechInnovation
36
37. EmoSpeaker: One-shot Fine-grained
Emotion-Controlled Talking Face
Generation: EmoSpeaker
introduces a revolutionary technique for
generating emotional talking-head videos
from a single image, input audio, and
specified emotion, capable of adjusting
emotional intensity through fine-grained
control. This method surpasses existing
technologies in expression variation and
lip-sync accuracy.
#EmoSpeaker #TalkingHead
#EmotionalVideo #TechInnovation
#AIGeneratedContent
37
38. Sam Altman Seeks Trillions of Dollars to
Reshape Business of Chips and AI:
Sam Altman, CEO of OpenAI, is
seeking to raise trillions to expand global
semiconductor capabilities, aiming to
address the shortage of AI chips and
advance the development of artificial
general intelligence. A trillion here, a trillion
there. Pretty soon you're talking real
money.
#SamAltman #OpenAI
#SemiconductorIndustry
#ArtificialIntelligence
#TechInvestment
38
39. Machine Learning Research at Apple:
What Apple does with machine
intelligence in 2024 is anyone's guess.
Whereas the other Big Tech vendors tend
to release incrementally, Apple
(traditionally) likes to save up releases for
one big announcement each year, so we
will have to wait and see. Some
breadcrumbs are starting to emerge.
#MachineLearning #Apple
#TechInnovation #AnnualRelease
#BigTech
39
40. TikTok presents Boximator
TikTok introduces Boximator, a tool for
creating detailed and customisable motion
in image-to-video transformations using
box constraints and motion paths,
exemplified by a girl in red covering her
face with a skull, showcased through 10
unique examples.
#Boximator #TikTokInnovation
#ImageToVideo #CreativeTech
#MotionGeneration
40
41. Cory Doctorow: What Kind of Bubble is AI?:
Cory Doctorow's article in Locus
Magazine explores the nature of AI as a
bubble, comparing it to previous tech
bubbles. He discusses this bubble's
potential outcomes and remnants,
highlighting the distinction between
bubbles that leave valuable assets behind
and those that do not. Doctorow expresses
scepticism about AI's sustainable value and
business models, questioning what will
remain when the hype subsides.
#AIBubble #TechBubble
#CoryDoctorow #FutureOfAI
#TechScepticism
41
42. AI is the average of the Internet: WPP,
Don't become an AI North Korea:
This strongly worded opinion piece from
Punks and Pinstripes argues against WPP's
heavy investment in generative AI, likening
it to a decoy masking stagnation akin to
North Korea's strategy with nuclear
investment. It suggests that while AI can
handle operational tasks efficiently, it
stifles creativity in fields that thrive on
human ingenuity, urging companies to
balance AI use to avoid creative atrophy.
#AIInvestment #CreativeAtrophy
#BusinessStrategy
#InnovationVsTradition #WPP
42
43. AI assistance is leading to lower code
quality, claim researchers:
Research suggests that while popular and
enhancing productivity, AI coding
assistants like GitHub's Copilot may lead to
lower code quality, with issues like
increased code churn and higher amounts
of repeated code.
#AICoding #CodeQuality
#DeveloperTools #TechResearch
#SoftwareDevelopment
43
44. GPT4's system prompt was leaked:
This video breaks down the
leaked GPT4 system prompt. The
capabilities hinted at within the prompt are
very surprising. For example, the policy
statements for the use of DALL-E are
particularly interesting with respect to
emulating the style of artists.
#GPT4 #SystemPrompt #AI #LLM
#PromptEscape
44
45. Ancient Herculaneum scroll piece revealed
by AI: Artificial intelligence has
unlocked the contents of a papyrus scroll
from Herculaneum, revealing a Greek
philosopher's insights on pleasure,
previously hidden by the eruption of Mount
Vesuvius 2000 years ago. This
breakthrough, winning a $700,000 prize,
could lead to more ancient texts being
deciphered.
#AncientTexts #AI
#HerculaneumScrolls #Philosophy
#VesuviusChallenge
45
46. Beyond Self-Attention: How a Small
Language Model Predicts the Next Token:
This article explores how a small
transformer language model predicts the
next token, focusing on the role of
transformer blocks and feed-forward
networks beyond multi-head self-
attention. The author shares findings from
a six-month investigation, proposing that
each transformer block predicts the next
tokens based on learned associations with
classes of strings from the training data.
#AI #MachineLearning #Transformers
#LanguageModels #DeepLearning
46