In this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, s host Lukas Biewald to discuss the groundbreaking use of reinforcement learning in PCB design.  Learn how Quilter automates the complex, manual process of creating PCBs, making it faster and more efficient. Nesterenko shares insights on the challenges and successes of integrating AI with real-world applications and discusses the future of electronic design. ✅ *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz Connect with Sergiy Nesterenko: https://www.linkedin.com/in/sergiynesterenko/  Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

In this episode of Gradient Dissent, Varun Mohan, Co-Founder & CEO of Codeium, s host Lukas Biewald to discuss the transformative power of AI in coding.  They explore how Codeium evolved from GPU virtualization to a widely used AI coding tool and tackled the technical challenges and future prospects of AI-assisted software development. Varun shares insights on overcoming performance and latency issues and how AI can significantly enhance engineering velocity. This episode offers an in-depth look at the intersection of AI and coding, highlighting both technological advancements and the potential for more efficient development processes. ✅ *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz Connect with Varun Mohan: https://www.linkedin.com/in/varunkmohan/  https://x.com/_mohansolo  Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

In this episode of Gradient Dissent, Together AI co-founder and Stanford Associate Professor Percy Liang s host, Lukas Biewald, to discuss advancements in AI benchmarking and the pivotal role that open-source plays in AI development. He shares his development of HELM—a robust framework for evaluating language models. The discussion highlights how this framework improves transparency and effectiveness in AI benchmarks. Additionally, Percy shares insights on the pivotal role of open-source models in democratizing AI development and addresses the challenges of English language bias in global AI applications. This episode offers in-depth insights into how benchmarks are shaping the future of AI, highlighting both technological advancements and the push for more equitable and inclusive technologies. ✅ *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz Connect with Percy Liang: https://www.linkedin.com/in/percy-liang-717b8a/  https://twitter.com/percyliang    Anticipatory Music Composer: https://stanford.io/3y5VycN  Blog Post: https://crfm.stanford.edu/2024/02/18/helm-instruct.html Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

In this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning. With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights into the challenges and successes of applying AI in a complex field like biotechnology. They share their journey at Isomorphic Labs, a company dedicated to revolutionizing drug discovery with AI. In this episode, they discuss the transformative impact of deep learning on the drug development process and Isomorphic Labs' strategy to innovate from molecular design to clinical trials. You’ll come away with valuable insights into the challenges of applying AI in biotech, the role of AI in streamlining the drug discovery pipeline, and peer into the  future of AI-driven solutions in healthcare. Connect with Sergei Yakneen & Max Jaderberg: https://www.linkedin.com/in/maxjaderberg/  https://www.linkedin.com/in/yakneensergei/  https://twitter.com/SergeiIakhnin  https://twitter.com/maxjaderberg  Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb 

🚀 Discover the cutting-edge AI hardware development for enterprises in this episode of Gradient Dissent, featuring Rodrigo Liang, CEO of SambaNova Systems.  Rodrigo Liang’s journey from Oracle to founding SambaNova is a tale of innovation and determination. In this episode, Rodrigo discusses the importance of specialized hardware in unlocking AI's potential for Enterprise businesses and SambaNova's mission to deliver comprehensive AI solutions from chips to models.  Explore the critical insights on navigating the challenges of introducing AI to executives and the evolution of AI applications within large enterprises, and get a glimpse into the future of AI in the business world. ✅ *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Rodrigo Liang: https://www.linkedin.com/in/rodrigo-liang/ https://twitter.com/RodrigoLiang    Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

🚀 This episode of Gradient Dissent welcomes Edo Liberty, the mind behind Pinecone's revolutionary vector database technology. As a former leader at Amazon AI Labs and Yahoo's New York lab, Edo Liberty's extensive background in AI research and development showcases the complexities behind vector databases and their essential role in enhancing AI's capabilities. Discover the pivotal moments and key decisions that have defined Pinecone's journey, learn about the different embedding strategies that are reshaping AI applications, and understand how Pinecone's success has had a profound impact on the technology landscape. ⏳Timestamps: 00:00 Introduction: Welcome and Episode Overview 04:36 Meet Edo Liberty: Background and Pinecone's Inception 09:12 What are Vector Databases? An Explainer 13:48 The Genesis of Pinecone: Founding Story 18:24 Challenges in Developing VDB Technology 23:00 Pinecone's Unique Approach to VDBs 27:36 Key Milestones and Successes 32:12 Exploring Different Embedding Strategies 36:48 Future Trends in AI and Database Technology 41:24 Leadership and Innovation: Edo's Philosophy 46:00 The Road Ahead for Pinecone and VDBs 50:36 Audience Q&A: Edo Answers Listener Questions 55:12 RAG Apps: Production Challenges & Wrap-Up Connect with Edo Liberty: https://www.linkedin.com/in/edo-liberty-4380164/  https://twitter.com/EdoLiberty  Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

🚀 In this episode of Gradient Dissent, we explore the revolutionary impact of AI across industries with Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems.  Dive into Salesforce AI's cutting-edge approach to customer service through AI, the importance of a trust-first strategy, and the future of AI policies and education. Learn how Salesforce empowers businesses and shapes the future with AI innovations like Prompt Builder and Copilot Studio. Whether you're an AI enthusiast, a business leader, or someone curious about the future of technology, this discussion offers valuable insights into navigating the rapidly evolving world of AI. ✅ Subscribe to Weights & Biases YouTube →  https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google Connect with Clara: https://www.linkedin.com/in/clarashih/ https://x.com/clarashih?s=20   Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb 

In the newest episode of Gradient Dissent, we explore the intersecting worlds of AI and Healthcare with John Halamka, President of the Mayo Clinic. Journey with us down John Halamka's remarkable path from his early tech startup days to leading innovations as the President of the Mayo Clinic, one of the world's most esteemed healthcare institutions. This deep dive into AI's role in modern medicine covers the technology's evolution, its potential to redefine patient care, and the visionary work of Mayo Clinic in harnessing AI responsibly. Explore the misconceptions surrounding AI in healthcare and discover the ethical and regulatory frameworks guiding its application. Glimpse into the future with Halamka's visionary perspective on AI's potential to democratize and revolutionize healthcare across the globe. us for an enlightening discussion on the challenges, triumphs, and the horizon of AI in healthcare through the lens of John Halamka's pioneering experiences. 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube ✅ Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb 

In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how robotic learning could transform student in education. We'll dive into the challenges of developing humanoid and quadruped robots, explore the limitations of simulated environments and discuss why real-world experience is key for adaptable machines. Plus, Chelsea will offer a glimpse into the future of household robotics and why it may be a few years before a robot is making your bed. Whether you're an AI enthusiast, a robotics professional, or simply curious about the potential and future of the technology, this episode offers unique insights into the evolving world of robotics and where it's headed next. *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Timestamps: 0:00- Introduction 13:00 - Reinforcement Learning in Robotics 15:00 - Using Simulation vs. Real Data in Robotics 17:00 - The Complexity of Grasping and Manipulation Tasks 20:00 - Future of Household Robotics 23:00 - Humanoids and Quadrupeds in Robotics 25:00 - Public Perception and Design of Robots 27:00 - Performance of Robot Dogs 29:00 - Chelsea's Work on Student 31:00 - Training the Auto-Grading System 33:00 - Potential Expansion to Other Classes and Projects 35:00 - Impact of AI Coding Tools on Education 37:00 - Chelsea's Exciting Research in Robotics 39:00 - Cooking Shrimp with a Two-Armed Robot 41:00 - Evaluating Robotic Cooking Experiments 43:00 - Vision Systems in Robotics 50:00 - Conclusion 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Chelsea Finn: https://www.linkedin.com/in/cbfinn/ https://twitter.com/chelseabfinn Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

In the latest episode of Gradient Dissent, Richard Socher, CEO of You.com, shares his insights on the power of AI in search. The episode focuses on how advanced language models like GPT-4 are transforming search engines and changing the way we interact with digital platforms. The discussion covers the practical applications and challenges of integrating AI into search functionality, as well as the ethical considerations and future implications of AI in our digital lives. us for an enlightening conversation on how AI and you.com are reshaping how we access and interact with information online. *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz Timestamps: 00:00 - Introduction to Gradient Dissent Podcast 00:48 - Richard Socher’s Journey: From Linguistic Computer Science to AI 06:42 - The Genesis and Evolution of MetaMind 13:30 - Exploring You.com's Approach to Enhanced Search 18:15 - Demonstrating You.com's AI in Mortgage Calculations 24:10 - The Power of AI in Search: A Deep Dive with You.com 30:25 - Security Measures in Running AI-Generated Code 35:50 - Building a Robust and Secure AI Tech Stack 42:33 - The Role of AI in Automating and Transforming Digital Work 48:50 - Discussing Ethical Considerations and the Societal Impact of AI 55:15 - Envisioning the Future of AI in Daily Life and Work 01:02:00 - Reflecting on the Evolution of AI and Its Future Prospects 01:05:00 - Closing Remarks and Podcast Wrap-Up 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Richard Socher: https://www.linkedin.com/in/richardsocher/  https://twitter.com/RichardSocher  Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

Explore the Future of Investment & Impact in AI with Host Lukas Biewald and Guests Elad Gill and Sarah Guo of the No Priors podcast. Sarah is the founder of Conviction VC, an AI-centric $100 million venture fund. Elad, a seasoned entrepreneur and startup investor, boasts an impressive portfolio in over 40 companies, each valued at $1 billion or more, and wrote the influential "High Growth Handbook." us for a deep dive into the nuanced world of AI, where we'll explore its broader industry impact, focusing on how startups can seamlessly blend product-centric approaches with a balance of innovation and practical development. *Subscribe to Weights & Biases* →  https://bit.ly/45BCkYz Timestamps: 0:00 - Introduction  5:15 - Exploring Fine-Tuning vs RAG in AI 10:30 - Evaluating AI Research for Investment 15:45 - Impact of AI Models on Product Development 20:00 - AI's Role in Evolving Job Markets 25:15 - The Balance Between AI Research and Product Development 30:00 - Code Generation Technologies in Software Engineering 35:00 - AI's Broader Industry Implications 40:00 - Importance of Product-Driven Approaches in AI Startups 45:00 - AI in Various Sectors: Beyond Software Engineering 50:00 - Open Source vs Proprietary AI Models 55:00 - AI's Impact on Traditional Roles and Industries 1:00:00 - Closing Thoughts  Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. Follow Weights & Biases: YouTube: http://wandb.me/youtube Twitter: https://twitter.com/weights_biases  LinkedIn: https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3 #OCR #DeepLearning #AI #Modeling #ML

In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu, CEO of LlamaIndex. Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies, addressing challenges in data retrieval, analysis, and conversational memory. We also delve into the future of AI-driven systems and LlamaIndex's role in this rapidly evolving field. This episode is a must-watch for anyone interested in AI, data science, and the future of technology. Timestamps: 0:00 - Introduction  4:46 - Differentiating  LlamaIndex in the AI framework ecosystem. 9:00 - Discussing data analysis, search, and retrieval applications. 14:17 - Exploring Retrieval Augmented Generation (RAG) and vector databases. 19:33 - Implementing and optimizing One Bot in Discord. 24:19 - Developing and evaluating datasets for AI systems. 28:00 - Community contributions and the growth of LlamaIndex. 34:34 - Discussing embedding models and the use of vector databases. 39:33 - Addressing AI model hallucinations and fine-tuning. 44:51 - Text extraction applications and agent-based systems in AI. 49:25 - Community contributions to LlamaIndex and managing refactors. 52:00 - Interactions with big tech's corpus and AI context length. 54:59 - Final thoughts on underrated aspects of ML and challenges in AI. Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. Connect with Jerry: https://twitter.com/jerryjliu0 https://www.linkedin.com/in/jerry-liu-64390071/ Follow Weights & Biases: YouTube: http://wandb.me/youtube Twitter: https://twitter.com/weights_biases  LinkedIn: https://www.linkedin.com/company/wandb  the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3 #OCR #DeepLearning #AI #Modeling #ML

Dive into the remarkable journey of Paul Copplestone, CEO of Supabase in this episode of Gradient Dissent Business. Paul recounts his unique experiences, having started with a foundation in web development before venturing into innovative projects in agriculture, blending his rural roots with technological advancements.Throughout our conversation with Paul we uncover his coding and database management skills, and learn how his diverse background was instrumental in shaping his approach to building a thriving tech company. This episode covers everything from challenges in the AI and database industries to the future of spatial data and embeddings. us as we explore the fascinating world of innovation, the importance of diverse perspectives, and the future of AI, data storage, and spatial data. We discuss: 0:00 What is supabase.com? 03:07 Exploration of exciting use cases 06:15 Challenges in the AI and Database Industry 12:30 Role of Multimodal Models 16:45 Innovations in Data Storage 22:10 Diverse Perspectives on Technology 29:20 The Importance of Intellectual Honesty 36:00 Building a Company and Navigating Challenges 42:30 The Impact of Global Experience 49:20 The Future of AI and Spatial Data 54:00 Integrating Spatial Data into Digital Systems Thanks for listening to the Gradient Dissent Business podcast, with hosts Lavanya Shukla and Caryn Marooney, brought to you by Weights & Biases. Be sure to click the subscribe button below, to keep your finger on the pulse of this fast-moving space and hear from other amazing guests.

In the latest episode of Gradient Dissent, we hear from Joseph Spisak, Product Director, Generative AI @Meta, to explore the boundless impacts of AI and its expansive role in reshaping various sectors.  We delve into the intricacies of models like GPT and Llama2, their influence on experiences, and AI's groundbreaking contributions to fields like biology, material science, and green hydrogen production through the Open Catalyst Project. The episode also examines AI's practical business applications, from document summarization to intelligent note-taking, addressing the ethical complexities of AI deployment.  We wrap up with a discussion on the significance of open-source AI development, community collaboration, and AI democratization.  Tune in for valuable insights into the expansive world of AI, relevant to developers, business leaders, and tech enthusiasts. We discuss: 0:00 Intro 0:32 Joe is Back at Meta 3:28 What Does Meta Get Out Of Putting Out LLMs? 8:24 Measuring The Quality Of LLMs 10:55 How Do You Pick The Sizes Of Models 16:45 Advice On Choosing Which Model To Start With 24:57 The Secret Sauce In The Training 26:17 What Is Being Worked On Now 33:00 The Safety Mechanisms In Llama 2 37:00 The Datasets Llama 2 Is Trained On 38:00 On Multilingual Capabilities & Tone 43:30 On The Biggest Applications Of Llama 2 47:25 On Why The Best Teams Are Built By s 54:01 The Culture Differences Of Meta vs Open Source 57:39 The AI Learning Alliance 1:01:34 Where To Learn About Machine Learning 1:05:10 Why AI For Science Is Under-rated 1:11:36 What Are The Biggest Issues With Real-World Applications Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML

In the premiere episode of Gradient Dissent Business, we're ed by Weights & Biases co-founder Chris Van Pelt for a deep dive into the world of large language models like GPT-3.5 and GPT-4. Chris bridges his expertise as both a tech founder and AI expert, offering key strategies for startups seeking to connect with early s, and for enterprises experimenting with AI. He highlights the melding of AI and traditional web development, sharing his insights on product evolution, leadership, and the power of customer conversations—even for the most introverted founders. He shares how personal development and authentic co-founder relationships enrich business dynamics. us for a compelling episode brimming with actionable advice for those looking to innovate with language models, all while managing the inherent complexities. Don't miss Chris Van Pelt's invaluable take on the future of AI in this thought-provoking installment of Gradient Dissent Business. We discuss: 0:00 - Intro 5:59 - Impactful relationships in Chris's life 13:15 - Advice for finding co-founders 16:25 - Chris's fascination with challenging problems 22:30 - Tech stack for AI labs 30:50 - Impactful capabilities of AI models 36:24 - How this AI era is different 47:36 - Advising large enterprises on language model integration 51:18 - Using language models for business intelligence and automation 52:13 - Closing thoughts and appreciation Thanks for listening to the Gradient Dissent Business podcast, with hosts Lavanya Shukla and Caryn Marooney, brought to you by Weights & Biases. Be sure to click the subscribe button below, to keep your finger on the pulse of this fast-moving space and hear from other amazing guests #OCR #DeepLearning #AI #Modeling #ML

On this episode, we’re ed by Brandon Duderstadt, Co-Founder and CEO of Nomic AI. Both of Nomic AI’s products, Atlas and GPT4All, aim to improve the explainability and accessibility of AI. We discuss: - (0:55) What GPT4All is and its value proposition. - (6:56) The advantages of using smaller LLMs for specific tasks.  - (9:42) Brandon’s thoughts on the cost of training LLMs.  - (10:50) Details about the current state of fine-tuning LLMs.  - (12:20) What quantization is and what it does.  - (21:16) What Atlas is and what it allows you to do. - (27:30) Training code models versus language models. - (32:19) Details around evaluating different models. - (38:34) The opportunity for smaller companies to build open-source models.  - (42:00) Prompt chaining versus fine-tuning models. Resources mentioned: Brandon Duderstadt - https://www.linkedin.com/in/brandon-duderstadt-a3269112a/ Nomic AI - https://www.linkedin.com/company/nomic-ai/ Nomic AI Website - https://home.nomic.ai/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML

On this episode, we’re ed by Soumith Chintala, VP/Fellow of Meta and Co-Creator of PyTorch. Soumith and his colleagues’ open-source framework impacted both the development process and the end- experience of what would become PyTorch. We discuss: - The history of PyTorch’s development and TensorFlow’s impact on development decisions. - How a symbolic execution model affects the implementation speed of an ML compiler. - The strengths of different programming languages in various development stages. - The importance of customer engagement as a measure of success instead of hard metrics. - Why community-guided innovation offers an effective development roap. - How PyTorch’s open-source nature cultivates an efficient development ecosystem. - The role of community building in consolidating assets for more creative innovation. - How to protect community values in an open-source development environment. - The value of an intrinsic organizational motivation structure. - The ongoing debate between open-source and closed-source products, especially as it relates to AI and machine learning. Resources: - Soumith Chintala https://www.linkedin.com/in/soumith/ - Meta | LinkedIn https://www.linkedin.com/company/meta/ - Meta | Website https://about.meta.com/ - Pytorch https://pytorch.org/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML

On this episode, we’re ed by Andrew Feldman, Founder and CEO of Cerebras Systems. Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry. We discuss: - The advantages of using large chips for AI work. - Cerebras Systems’ process for building chips optimized for AI. - Why traditional GPUs aren’t the optimal machines for AI work. - Why efficiently distributing computing resources is a significant challenge for AI work. - How much faster Cerebras Systems’ machines are than other processors on the market. - Reasons why some ML-specific chip companies fail and what Cerebras does differently. - Unique challenges for chip makers and hardware companies. - Cooling and heat-transfer techniques for Cerebras machines. - How Cerebras approaches building chips that will fit the needs of customers for years to come. - Why the strategic vision for what data to collect for ML needs more discussion. Resources: Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/ Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/ Cerebras Systems | Website - https://www.cerebras.net/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML

On this episode, we’re ed by Harrison Chase, Co-Founder and CEO of LangChain. Harrison and his team at LangChain are on a mission to make the process of creating applications powered by LLMs as easy as possible. We discuss: - What LangChain is and examples of how it works.  - Why LangChain has gained so much attention.  - When LangChain started and what sparked its growth.  - Harrison’s approach to community-building around LangChain.  - Real-world use cases for LangChain. - What parts of LangChain Harrison is proud of and which parts can be improved. - Details around evaluating effectiveness in the ML space. - Harrison's opinion on fine-tuning LLMs. - The importance of detailed prompt engineering. - Predictions for the future of LLM providers. Resources: Harrison Chase - https://www.linkedin.com/in/harrison-chase-961287118/ LangChain | LinkedIn - https://www.linkedin.com/company/langchain/ LangChain | Website - https://docs.langchain.com/docs/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML

On this episode, we’re ed by Jean Marc Alkazzi, Applied AI at idealworks. Jean focuses his attention on applied AI, leveraging the use of autonomous mobile robots (AMRs) to improve efficiency within factories and more. We discuss: - Use cases for autonomous mobile robots (AMRs) and how to manage a fleet of them.  - How AMRs interact with humans working in warehouses. - The challenges of building and deploying autonomous robots. - Computer vision vs. other types of localization technology for robots. - The purpose and types of simulation environments for robotic testing. - The importance of aligning a robotic fleet’s workflow with concrete business objectives. - What the update process looks like for robots. - The importance of avoiding your own biases when developing and testing AMRs. - The challenges associated with troubleshooting ML systems. Resources:  Jean Marc Alkazzi - https://www.linkedin.com/in/jeanmarcjeanazzi/ idealworks |LinkedIn - https://www.linkedin.com/company/idealworks-gmbh/ idealworks | Website - https://idealworks.com/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML