Join us for an in-depth conversation with Maria, a leading expert in MLOps, as she shares her journey and insights into the world of machine learning operations. Maria discusses the common misconceptions about MLOps, the integration of DevOps practices, and the tools and frameworks that have shaped her career. Discover her unique approach to MLOps, the challenges faced by data science teams, and the evolution of the field. Maria also introduces her new course on MLOps with Databricks, aimed at helping practitioners deepen their skills. Don't miss this episode for valuable advice and a peek into the future of MLOps!

0:00 Intro

0:31 Marvel and Lego: A Personal Touch

1:12 Journey into MLOps

02:09 The Evolution of MLOps

04:38 Challenges and Best Practices in MLOps

06:38 MLOps vs. DevOps

08:10 LLM Monitoring and Prompt Engineering

10:02 Advice for MLOps Practitioners

13:15 Marvelous MLOps: The Blog and Course

17:53 Final Thoughts and Career Advice

19:21 Conclusion and Farewell

Join Miko Pawlikowski on HockeyStick as he interviews Harpreet Sahota, Voxel51's Hacker in Residence and a prominent figure in the AI community. Harpreet shares his journey from studying math and stats to becoming a biostatistician and data scientist, eventually taking on his current role. They discuss what it means to be a Hacker in Residence, the importance of Voxel51's open-source library in the AI industry, and Harpreet's upcoming book on Practical Retrieval Augmentation Generation. Harpreet also delves into his experiences with LinkedIn courses, his extensive podcasting history, and advice for aspiring AI professionals. Tune in to learn about the intricate balance of responsibilities in Harpreet's role, from creating educational content to exploring novel AI applications.

00:00 Meet Harpreet Sahota: Hacker in Residence

01:25 Role and Responsibilities at Voxel51

04:59 Journey to Becoming a Hacker in Residence

10:44 Challenges and Rewards of the Role

15:07 Writing a Book on Retrieval Augmented Generation

23:12 Creating LinkedIn Learning Courses

28:17 Balancing Work and Family Life

28:42 Recording Courses from Home

28:56 Choosing Not to Be On-Screen

29:23 Writing and Newsletters

31:07 Industry Events and Conferences

35:00 Traveling for Work

36:10 The Harpreet Podcast

41:59 Future Plans and Building a Dream House

44:25 Final Thoughts and Reflections

45:33 Advice for Aspiring Professionals

Get Vadim's book 45% OFF with code hockeystick24 here: https://mng.bz/4J5Q

Join Miko Pawlikowski on HockeyStick as he discusses machine learning algorithms with Vadim Smolyakov, author of 'Machine Learning Algorithms in Depth.' They explore Vadim's experiences at MIT CSAIL, his work at Microsoft, and key machine learning concepts like Bayesian nonparametrics, decision trees, and Markov chain Monte Carlo methods. Vadim also shares insights on his book, the challenges in implementing ML algorithms, and predictions about the future of AI. This episode is perfect for intermediate learners and those new to machine learning.

0:00 Guest Introduction: Vadim Smolyakov

00:48 MIT CSAIL Experience

01:28 Bayesian Inference and Non-Parametrics

02:30 Vadim's Work at Microsoft

03:14 The Origin of Vadim's Book

06:41 Target Audience for the Book

08:04 Explaining Bayesian Algorithms

15:57 Supervised vs Unsupervised Learning

19:22 Decision Trees and Random Forests

24:42 Challenges in Implementing ML Algorithms

31:32 Top Machine Learning Algorithms

45:27 Future of AI and ML

50:31 Conclusion and Farewell

Join Miko Pawlikowski on HockeyStick as he chats with Matt Carey, an AI engineer at StackOne, AWS Community Builder, organizer of AI Demo Days, and OpenUK AI Advisory Board member. In this episode, Matt shares his unique path from competitive windsurfing to AI engineering, the challenges of transitioning from outdoor sports to indoor coding, and his passion for building a strong AI community in London. They delve into the vibrant AI scene in London, the importance of open-source advocacy, and the exciting innovations happening in Web AI and browser-based LLMs. Matt provides insights into his work with StackOne and offers advice for aspiring AI engineers and startup enthusiasts.

0:00 Introduction to the Episode

0:39 Matt Carey's Windsurfing Journey

1:58 Transition from Windsurfing to AI

4:34 AI Scene in London

5:21 AI Demo Days and Meetups

10:42 AWS Community Builder Experience

14:58 OpenUK AI Advisory Board

18:02 Exciting Innovations in the London Startup Scene

25:51 Navigating Funding and Incubators in London

26:30 Influential Figures and Cool Projects to Follow

28:56 The Role of AI Engineers at StackOne

33:09 The Fun and Chaos of Tech Twitter

Get Johan's book 45% OFF with code hockeystick24 here: https://mng.bz/v8da

Join Miko Pawlikowski on HockeyStick as he delves into the fascinating world of quantum computing with Johan Vos, author of "Quantum Computing in Action" and co-founder of Gluon. Discover what makes quantum computing special, its implications for future technology, potential impacts on security, and how to future-proof your career in a quantum-driven world. Johan explains complex concepts like superposition and entanglement in simple terms and discusses real-world applications and the future of quantum hardware. Don't miss this comprehensive guide to understanding the next big leap in computing!

0:00 What Makes Quantum Computing Special?

1:49 Quantum Computing vs Classical Computing

4:17 Real-World Applications of Quantum Computing

6:25 Understanding Qubits and Superposition

10:02 Quantum Entanglement Explained

13:54 Quantum Computing Hardware and Simulators

26:06 Programming Quantum Computers

42:38 Future of Quantum Computing

48:00 Conclusion and Final Thoughts

Get her book 45% OFF with code hockeystick24 here: https://mng.bz/v8va

Join Miko Pawlikowski on this episode of HockeyStick as he delves into the world of software engineering management with Akanksha Gupta, author of "Think Like a Software Engineering Manager". Explore Akanksha's journey from software engineer to engineering manager and gather valuable insights on making the transition, thriving in the role, and avoiding common pitfalls. Learn about essential skills such as delegation, career discussions, and maintaining team morale, along with practical strategies for hiring, managing attrition, and personal growth.

0:00 Intro

0:24 Meet Akanksha Gupta: Author and Engineering Manager

1:09 The Journey from Engineer to Manager

1:34 Writing the Book: Inspiration and Challenges

4:31 Deciding to Transition: Promotion vs. Lateral Move

9:09 Navigating the People Aspect of Management

15:19 Key Traits of a Good Engineering Manager

34:52 Continuous Learning and Self-Growth

40:00 Final Advice for Aspiring Engineering Managers

Get their book 45% OFF with code hockeystick24 here: https://mng.bz/ngjd

Join Miko Pawlikowski on this episode of HockeyStick as he dives into the world of robo advisors with industry heavyweights Rob Reider and Alex Michalka, authors of "Build a Robo Advisor with Python from Scratch". Discover their fascinating career paths from hedge funds to robo advising, the intricacies of Python programming for finance, and the evolution of financial planning and optimization techniques. Gain insights into asset allocation, tax-loss harvesting, Monte Carlo simulations, reinforcement learning, and the future of robo advising. An essential watch for anyone interested in the intersection of finance and technology!

0:00 Introduction to Robo Advisors

0:50 Rob Reider's Career Journey

01:40 Quantopian and the Love for Python

04:19 The Birth of a Book Collaboration

05:11 Alex's Journey and Weather Derivatives

08:08 Understanding Hedge Funds vs. Robo Advisors

11:13 The Rise of Robo Advisors

17:30 Tax Efficiency and Asset Allocation

24:51 Target Audience and Book Insights

28:21 Monte Carlo Simulations Explained

31:15 Monte Carlo Simulations Explained

32:01 Applications of Monte Carlo Simulations

33:34 Introduction to AI and Reinforcement Learning

35:25 Reinforcement Learning in Finance

39:38 The Power of Python in Finance

42:23 Challenges in Measuring Returns

1:01:35 Conclusion and Final Thoughts

Join Miko Pawlikowski on this episode of HockeyStick as he interviews Abi Aryan, a leading expert and author on Large Language Model Operations (LLMOps), to distinguish it from Machine Learning Operations (MLOps) and Machine Learning Engineering (MLE). Abi delves into the challenges and unique requirements of managing generative models in production, discusses the evolution and future of LLMOps, and shares insights into her upcoming book, 'LLMOps: Managing Large Language Models in Production.' Gain understanding on safety, scalability, robustness, and the lifecycle of LLMs, and learn practical steps to effectively deploy and monitor these advanced models.

00:00 Introduction

1:11 Generative vs. Discriminative Models

1:58 Challenges in LLMOps

2:12 The Shift to Task-Agnostic Software

2:50 Fine-Tuning and Prompt Engineering

4:37 The Origin of LLMOps

13:20 Safety, Scalability, and Robustness in LLMOps

29:40 Dynamic Model Adaptation

30:37 Challenges of Static Models

31:42 Improving Model Performance

32:20 Introducing a New Framework

34:06 Lifecycle of an LLM in Production

35:29 Data Engineering and Evaluation

37:06 Orchestration and Security

47:51 Future Predictions and Concerns

48:46 Impact on Jobs and Society

55:06 Risks and Ethical Considerations

59:11 Industry Trends and Monopolies

01:00:52 Conclusion and Contact Information

Get Mark's book 20% OFF with code hockeystick24 here: https://mng.bz/oeWD

In this episode of Hockey Stick, host Miko Pawlikowski welcomes Mark Winteringham, author of 'AI Assisted Testing,' to discuss the impact of generative AI on software testing.

They explore the efficacy of AI in writing tests, the future of software testing jobs, and the diverse roles within the testing profession. Mark provides his insights and experiences from 15 years in the industry, shares the concept of exploratory testing, and discusses the practical applications and limitations of AI tools in the testing landscape.

Key takeaways include the importance of empathy, critical thinking, and collaboration in testing, as well as how to effectively use AI tools for specific tasks. Tune in for an in-depth conversation on the evolving world of software testing.

00:00 Introduction to AI in Software Testing

00:17 Meet Mark Winteringham: A Journey into Software Testing

00:46 The Role and Daily Life of a Software Tester

14:01 Exploring the Impact of AI on Software Testing

17:35 Generative AI: Opportunities and Challenges

20:53 Practical Use Cases for AI in Testing

39:14 The Future of AI in Software Testing

42:02 Conclusion and Final Thoughts

Join Miko Pawlikowski as he dives into the world of MLOps with Eric Riddoch, a machine learning platform engineer and MLOps practitioner. In this episode, they discuss the differences between MLOps, DevOps, and platform engineering, tools and practices in MLOps, as well as Eric's journey into the field from studying applied math to becoming an MLOps expert. They explore automated workflows, experiment tracking, model serving, and monitoring, while considering the evolving landscape of MLOps and the challenges of integrating various tools. Tune in for an in-depth look at the technical and non-technical aspects of MLOps, and learn why this field is critical and exciting.

00:00 Introduction to MLOps

01:20 Eric Riddoch's Journey into MLOps

08:12 The Emergence of MLOps

10:23 Comparing MLOps and DevOps

10:53 Challenges in MLOps

21:15 Tools and MLOps Maturity

25:57 Building an ML Platform with Orchestrators

26:35 Experiment Tracking and Model Performance

27:08 ML Flow and Alternatives

29:18 Serving Models with BentoML

31:49 Challenges with SageMaker and GPU Quotas

32:54 Monitoring Tools and Their Limitations

36:48 The PyTorch vs TensorFlow Debate

42:41 Challenges in MLOps Roles and Leadership

50:42 Advice for Aspiring MLOps Engineers

Join Miko Pawlikowski in this episode of HockeyStick as he delves into the world of FinTech with industry veterans Mark Brouwer and Chris Cardell. Drawing from their collective 50 years of experience, Mark and Chris share insights about their new book 'Build Financial Software with Generative AI.' They discuss the evolution of FinTech, from ancient coin purses to modern AI-driven solutions, the challenges of writing a book together, the importance of adapting to new technologies, and the intricate culture within the FinTech sector. Learn about the unique obstacles faced by financial technology, regulatory impacts, and the cautious embrace of generative AI. Perfect for anyone curious about the intersection of finance and technology.

00:00 Introduction to the Episode

00:05 Meet the Guests: Mark Brower and Chris Cardell

00:35 The Story Behind the Space Shuttle Wallpaper

01:08 The Journey of Writing a Book Together

02:34 Why Write a Book on AI in Financial Software?

05:52 The Evolution of FinTech: From Coin Purses to Cryptocurrencies

08:47 Challenges and Innovations in FinTech

29:23 The Role of Generative AI in FinTech

48:09 Advice for Aspiring FinTech Professionals

51:27 Conclusion and Final Thoughts

Join Miko Pawlikowski and Anuradha Kar, a researcher from Institut Pasteur in Paris, as they discuss the incredible advancements in AI-driven medical image analysis. Discover how technologies like x-rays, MRIs, and ultrasounds work, and how AI is enhancing their capabilities to accelerate drug discovery and diagnose diseases with unprecedented accuracy. Learn about Anuradha's fascinating journey through various research fields, the potential of AI in healthcare, and the promising future of AI-assisted medical technologies. Don't miss this deep dive into the intersection of AI and medical science!

00:00 Welcome to HockeyStick: AI's Impact on Medical Imaging

00:48 Deep Dive into AI-Assisted Drug Discovery

03:15 Anuradha Kar's Journey: From Atmospheric Research to AI in Healthcare

07:43 Exploring Medical Imaging Modalities: X-Ray, MRI, and Ultrasound

13:27 AI Revolutionizing Medical Image Analysis

24:02 The Future of AI in Medical Imaging and Beyond

32:24 Manning Live Projects: A Hands-On Approach to Learning AI

43:56 Career Advice: Diving into AI and Deep Learning

In this episode, Miko Pawlikowski interviews Amit Bahree, a principal group technical program manager at Microsoft and the author of 'Generative AI in Action'. They delve into the complexities and applications of generative AI, particularly in a professional setting. Amit shares his journey into AI, the motivation behind his book, and provides insights into the future of AI technologies, including Large Language Models (LLMs), Small Language Models (SLMs), and the significance of prompt engineering. They also discuss the importance of multimodal AI for future developments and the role of open-source models in the AI community.

00:00 Welcome to Hockey Stick: Diving into Generative AI

00:59 The Genesis of "Generative AI in Action"

02:11 Amit Bahri's Journey into AI

03:36 The Multifaceted Role of a Technical Program Manager at Microsoft

06:20 The Sam Altman Saga and Microsoft's Position in AI

08:45 Why Generative AI is a Game Changer

13:07 The Evolution and Impact of AI Technologies

15:14 Exploring the Landscape of AI Models

18:22 Introducing Phi-3: A New Benchmark in AI

24:36 The Future of Small Language Models

32:33 Real-time AI: The Quest for Seamless Interaction

35:04 The Evolution of User Interfaces: From Apps to Voice Commands

36:49 Democratizing Technology: Real-World Examples of AI in Action

40:09 The Dark Side of AI: Ethical Dilemmas and Security Concerns

41:44 Navigating the New Landscape: Security and Ethical Considerations

45:06 Generative AI in Action: A Guide to Practical Applications

49:51 Exploring Image Generation Techniques and Their Applications

52:26 The Art and Science of Prompt Engineering

01:00:37 Future Predictions: Multimodality, SLMs, and System Improvements

01:05:55 The Role of Open Models in AI's Evolution

01:08:03 Reflecting on the Rapid Advancements in AI Technology

In this episode of HockeyStick, host Miko Pawlikowski interviews Artur Guja, Dr. Marlena Siviak, and Dr. Marian Siwiak, the authors of 'Generative AI for Data Analytics.' They discuss the impact of generative AI on data analytics, their collaborative background, and their book's focus on utilizing AI tools efficiently rather than seeking them out as silver bullets for complex problems. The conversation also delves into process optimization, the challenges and realities of academia, the potential and limits of prompt engineering, and the future of AI in data analytics. The importance of understanding the nuances of using generative AI as an assistant rather than a replacement for human creativity and insight in data analytics is highlighted throughout the discussion.

00:00 Welcome to HockeyStick: Unveiling Generative AI's Impact on Data Analytics

00:17 Meet the Minds Behind the Book: Diverse Expertise Uniting for Innovation

01:11 The Genesis of a Groundbreaking Book: Collaboration and Inspiration

02:07 Demystifying Generative AI: Beyond the Hype and Into Practical Use

04:34 The Essence of Process Optimization: Bridging Gaps and Enhancing Efficiency

09:58 Navigating the Complexities of Academia: A Personal Journey

24:13 The Intriguing World of Pharmacon: A Techno-Thriller Born from Experience

26:00 Crafting a Book on Generative AI: A Collective Venture into the Future

33:55 Exploring the Impact of AI on Data Analytics and Programming

35:56 The Skepticism Towards LLMs in Development

37:04 The Role of Healthy Paranoia in AI Assistance

39:41 Defining and Discussing Artificial Sentience

46:14 The Practical Use of Generative AI in Data Analytics

01:00:15 The Future of Data Analytics and AI Integration

01:04:24 Final Thoughts and Book Promotion

In this episode of HockeyStick, Miko Pawlikowski interviews Nathan B. Crocker, CTO at Checkr and author of 'AI-Powered Developer,' exploring the impact of generative AI tools like ChatGPT and Copilot on software development. They discuss the book's insights into using AI as a junior developer, its appeal to different levels of software practitioners, and experiences with generative AI for coding tasks. The conversation covers AI's role in designing, testing, refactoring, and understanding code, addressing job security concerns for software engineers. They also tackle the effectiveness of local LLMs versus online models, the evolving landscape of AI in coding, and future directions for developers using AI tools.

00:00 Welcome to HockeyStick: Exploring Generative AI for Code

00:23 Diving Into AI-Powered Development with Nathan B. Crocker

00:44 The Practical Guide to AI in Coding: Insights and Experiences

02:47 The Revolutionary Impact of AI on Software Development

04:46 ChatGPT: A New Era of Coding Assistance

08:57 The Magic of Copilot in Your IDE

10:40 Navigating the Challenges of Custom Code with AI Tools

14:46 Designing Software with AI: Beyond Just Code

17:45 Refactoring and Upgrading with AI: A New Frontier

20:27 The Quirks of AI: From Training Data to Practical Use

23:34 Exploring the Limits of AI in Software Testing

24:01 Exploring AI in Testing and Development

24:25 Harnessing AI for Software Testing

25:08 AI's Role in Code Depreciation and Asset Management

25:59 Understanding and Describing Code with AI

28:47 Security Insights and Ethical Considerations in AI

32:05 AI in Infrastructure and Deployment

37:36 Evaluating Local LLMs and Their Capabilities

42:18 The Future of Coding and AI: Predictions and Perspectives

44:01 Closing Thoughts and Next Steps for the Author

Miko Pawlikowski hosts a comprehensive discussion on the role, challenges, and insights of being a Chief Technology Officer (CTO) with expert guest Alan Williamson, author of 'Think Like a CTO' and partner at New Harbor Capital. Williamson shares his journey into the CTO role, the misconceptions about the job, and the critical importance of understanding beyond just technology to succeed. Key topics include the vital first 100 days, the evolution from technical expert to strategic leader, building and managing teams, making impactful tech decisions, and preparing for company growth or acquisition. This episode is a guide for current and aspiring CTOs on navigating their roles, leveraging their positions for business success, and evolving with their companies.

00:00 Welcome to Hockey Stick: Unveiling the CTO Role

00:51 Alan Williamson: From CTO Struggles to Author

02:18 The Real Scope of a CTO's Role and Challenges

08:12 The Evolution from Startup CTO to Corporate Leader

21:55 Does Every Company Need a CTO? Debunking Myths

29:16 The CTO's Journey: From Vision to Execution

37:43 Harnessing Thought Leadership in Tech

37:58 The Power of Blogging for CTOs

41:24 Strategic Hiring and Team Building Insights

51:31 Navigating Technical Decisions and Open Source

01:03:56 Effective Documentation Strategies

01:12:01 Closing Thoughts and Resources

Miko Pawlikowski hosts an engaging conversation with David Clinton, author of 'The Complete Obsolete Guide to Generative AI' and numerous technical books. They delve into the significance of generative AI, its current impact, and its potential to revolutionize various fields. Clinton shares his extensive experience as an author, discussing the rapid evolution of AI and its implications for traditional publishing, technical writing, and more. The discussion also explores broader topics, including AI's role in content creation, potential effects on industries like accounting and publishing, and the future of AI technology. Throughout, there's a focus on the blend of technology and creativity, the importance of adaptation, and contemplation on what the widespread adoption of AI means for society at large.

00:00 Welcome to Hockey Stick: The Generative AI Revolution

00:22 Meet David Clinton: A Serial Author in the Tech World

00:41 The Impact of Generative AI on Technology and Life

00:58 David Clinton's Prolific Writing Career and AI's Role

05:13 Generative AI: Transforming Industries and Professions

09:11 The Future of AI: Opportunities, Challenges, and Predictions

24:08 Generative AI vs. Traditional Technologies: A Comparative Analysis

26:36 Exploring Alternatives in AI and the Future of Search Engines

29:55 Elon Musk's Ventures and the Future of AI

32:18 Exploring the Timeliness of Technological Predictions

32:33 Why Now? The Sudden Surge in AI and Technology

33:18 The Integration Revolution: From Discrete Tools to AI Agents

35:05 The Role of Data Availability in AI Advancements

36:26 The Legal and Ethical Quandaries of AI Development

43:29 The Practical Uses and Limitations of Generative AI

52:51 The Future of AI: AGI, Quantum Computing, and Regulation

57:05 Reflecting on the Journey: AI's Impact on Content Creation

01:00:49 Navigating the New Era: AI's Role in Writing and Publishing

In this episode of HockeyStick, host Miko Pawlikowski interviews Mark Liu, a finance professor and seasoned coder, to dive into the world of Generative AI. Liu, author of 'Learn Generative AI with PyTorch', shares his journey from finance to AI, emphasizing the importance of coding in modern finance and his transition to Python for teaching analytics. He recounts the creation of his books, starting with Python applications in finance, moving to machine learning and generative AI, and finally to PyTorch for efficient model training. The conversation explores the basics of generative AI, breakthroughs like GANs, transformers, and diffusion models, and Liu's predictions for AI's impact on future jobs and technology development. They discuss the significance of generative AI in various industries, ethical considerations, and the potential directions for Liu's future work, highlighting the critical role of hands-on learning in understanding and leveraging AI technologies.

00:00 Welcome to HockeyStick: The Generative AI Revolution

00:25 Meet Mark Liu: From Finance to AI Pioneer

02:56 The Journey of Learning and Teaching Python

08:00 Exploring Generative AI and PyTorch

10:39 The Magic of Generative AI: From Text to Lifelike Images

14:50 The Impact of AI on Industries and Job Security

21:18 Understanding the Breakthroughs Behind Generative AI

34:16 The Role of Hardware and Data in AI's Rapid Advancement

37:15 Exploring the Versatility of GPUs

38:17 The Future of AI: Predictions and Possibilities

39:49 Navigating the Hype Cycle of AI

42:09 Ethical Considerations and the Future of AI Regulation

45:39 The Impact of AI on Politics and Elections

46:58 The OpenAI Controversy: From Open Source to For-Profit

51:02 PyTorch vs. TensorFlow: Predicting the Future

54:21 A Deep Dive into Generative AI and PyTorch

01:14:22 Future Projects and Closing Thoughts

Delve into the realm of language models with a comprehensive exploration spanning from the foundational Bag of Words approach to the revolutionary technologies of Transformers and GPT. This script not only unpacks the technical evolution and mathematical underpinnings of natural language processing but also projects the future trajectory of these models. It highlights expert insights on the societal impacts, the convergence of artificial intelligence with human cognition, and the ethical considerations of AI progression. Moreover, the discussion extends to the significance of open-source efforts in shaping this dynamic field. Aiming to provide a profound understanding, this guide navigates through the complex landscape of AI, language models, and their implications on future technology and society.

0:00 Welcome to HockeyStick: Unveiling the Power of LLMs

01:08 Meet the Experts: From Meetups to Authorship

03:16 The Hockey Stick Moment for LLMs: Breakthroughs and Realizations

07:48 Coding with LLMs: The New Frontier for Developers

15:39 The Pitfalls and Limitations of LLMs in Practice

21:43 Building vs. Buying LLMs: Navigating the Trade-offs

32:43 The Cost of Crafting Your Own LLM: Insights and Advice

42:48 Deciphering LLMs: A Crash Course in Language Features

50:44 Defining Language: A Philosophical Dive

51:33 Exploring the Essence of Language and Communication

54:31 Diving into Language Models and Their Evolution

55:08 From Bag of Words to N-Grams: The Evolution of Language Understanding

58:35 The Leap to Bayesian Techniques and Markov Chains

01:01:24 The Breakthrough of Continuous Bag of Words and Embeddings

01:09:43 Unveiling the Power of Multilayer Perceptrons

01:15:08 The Revolution of Attention Mechanisms and Transformers

01:26:37 The Hall of Fame: Landmark Models in the LLM Landscape

01:35:06 Predicting the Future of Language Models and OpenAI's Position

01:38:48 Concluding Thoughts and the Future of AI Research

I’m joined by two experts. Ian Eyberg, the CEO at nanoVM, a firm specialising in unikernels, and a multiple patent holder, and Sachin Kamboj, PhD University of Delaware, expert in Kubernetes and linux containers.