Textbooks is all you need📚, MosaicML new AI model🤖, Sequoia Europe tech talent report🤩, Robocat🙀, takeaways from Europe’s AI Act🇪🇺and AI Risk debates 😎🚀
AI Connections #26 - a weekly newsletter about interesting blog posts, articles, videos, and podcast episodes about AI.
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TOP READS 📚
“MPT-30B: Raising the bar for open-source foundation models” blog post by MosaicML: READ
“Towards Measuring the Representation of Subjective Global Opinions in Language Models” blog post by Anthropic: READ
“Atlas: Sequoia’s guide to Europe’s technical talent” report by Sequoia: READ
“RoboCat: A self-improving robotic agent” blog post by Deepmind: READ
“Inflection-1” report by Inflection AI: READ
“Five big takeaways from Europe’s AI Act” blog post by MIT: READ
“Stop talking about tomorrow’s AI doomsday when AI poses risks today” article by Nature: READ
“Textbooks Are All You Need” research paper by Microsoft: READ
“Shedding Light On Underrepresentation And Sampling Bias In Machine Learning” research paper by Sami Zhioua, Ruta Binkyte: READ
READ (BLOGS & ARTICLES) 📚📖
“Toward Actionable Generative AI” blog post by Salesforce: READ
“AI-powered personalised medicine could revolutionise healthcare (and no, we’re not putting ChatGPT in charge)” article by The Guardian: READ
“OpenAI Multi-Functions Agent” blog post by Cobus Greyling: READ
“What's going on with the Open LLM Leaderboard?” blog post by Hugging Face: READ
“The Secret Sauce behind 100K context window in LLMs: all tricks in one place” blog post by Galina Alperovich: READ
“Extending Context is Hard…but not Impossible” blog post by kaiokendev: READ
“Learning a world model and a driving policy” blog post by Wayve: READ
“The New Language Model Stack” blog post by Sequoia: READ
“Generative Search Engines: Beware the Facade of Trustworthiness” blog post by MIT: READ
“The Next Token of Progress: 4 Unlocks on the Generative AI Horizon” blog post by Andreessen Horowitz: READ
“AI: The next chapter in design” blog post by Figma: READ
“Chuck Schumer Wants AI to Be Explainable. It’s Harder Than It Sounds” article by Times: READ
“A.I. is now the biggest spend for nearly 50% of top tech executives across the economy: CNBC survey” article by CNBC: READ
“LLM Powered Autonomous Agents” blog post by Lil’Log: READ
“Embracing change and resetting expectations” blog post by Terence Tao: READ
“Openflamingo V2: New Models And Enhanced Training Setup” blog post by LAION: READ
“How existential risk became the biggest meme in AI” blog post by MIT: READ
READ (RESEARCH PAPERS) 📚
“RVT: Robotic View Transformer for 3D Object Manipulation” research paper by NVIDIA: READ
“Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks”research paper by EPFL: READ
“Tracking Everything Everywhere All at Once” research paper by Google: READ
“Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold” research paper by Max Planck Institute for Informatics: READ
“Bring Your Own Data! Self-Supervised Evaluation for Large Language Models” research paper by University of Maryland: READ
“Evaluating the Social Impact of Generative AI Systems in Systems and Society” research paper by OpenAI, Cohere for AI, University of Maryland, Hugging Face…: READ
WATCH🎥
LEARN 📚
“Generative AI learning path” course by Google: LEARN
“Explainable Artificial Intelligence” course by Harvard University: LEARN
“LLM in Production” course by MLOps.community: LEARN
“Generative AI with Large Language Models (LLMs)” course by Deeplearning.ai: LEARN