Hey, AIM community!

Next Wednesday, join us as we dive into Cursor: An AI Engineer’s Guide! We'll show you how to set up a dev environment that aligns with what some of the best AI Engineers use in the daily workflows to build, ship, and share LLM applications. We'll even introduce you to the future: 🎸 Vibe Coding - a.k.a. coding in mostly natural language!

Last week, we explored Reasoning in Continuous Latent Space, including COCONUT and a deeper, even more recent, "Recurrent Depth" approach. This is a continuation of our Large Reasoning Models series! We explored both of these novel approaches to training LLMs for reasoning and broke them down, from concepts to code.

💡 Big Idea: We don’t need to use tokens directly for reasoning!

COCONUT shows us that we can do it. Recurrent depth hypothesizes that we might be able to do it even more efficiently in latent space than in token space!

🧰 Resources

🧑‍🏫 Concepts: Slides
🧑‍💻 Code: COCONUT Repo, Recurrent Depth Model
📜 Papers: Training LLMs to Reason in Continous Latent Space, A Recurrent Depth Approach

🔭 Coming Up!

PydanticAI: From Data Validation to Agents

Meet PydanticAI, from the team that brough you Pydantic! This is one of the latest agent frameworks that everyone is talking about! Dr. Greg and The Wiz will demo how to learn, build, ship, and share agentic and multi-agent apps with this new orchestration library. Join us live to get your questions answered!

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Optimization of LLMs: A Series Introduction

PPO, DPO, GRPO. What do they have in common? O = Optimization. We're kicking off a brand new series that will trace the origins and history of LLMs, from gradient descent through to today's state-of-the-art. It's gonna be a journey through ML, DL, CV, NLP, and up to The LLM Edge today. Join us.

RSVP

🌐 Around the Community!

💡 Transformation Spotlight: Noor Aftab! Learn how this developer with 15 years of experience is not only helping companies transform but has a platform for bringing more women into the Gen AI space! Read more about her story!