LLM News: xAI, Codestral, AutoGen, Symbolic CoT

In the video titled ‘[LLM News] xAI Series B, Codestral, LLM Guide, AutoGen Course, Symbolic Chain-of-Thought,’ Elvis Saravia covers the latest developments in large language models (LLMs) and AI. The episode includes updates on xAI’s Series B funding round, raising $6 billion to advance their Gro models and accelerate research and development. It also highlights a new paper from Anthropic on scaling monosemanticity, which focuses on extracting interpretable features from transformer models to improve explainability and safety. Mistral AI’s new code generation model, Codestral, is introduced, capable of handling 80+ programming languages. The video discusses the LC-Boost framework, which uses short-context LLMs to solve long-context tasks effectively. A comprehensive guide on building with LLMs from O’Reilly is also mentioned, providing insights and best practices for leveraging these models in real-world applications. Other topics include Abacus embeddings for arithmetic tasks, a novel symbolic Chain-of-Thought framework, and various tools and resources like the PR Agent for automated pull request analysis and the Vision-Language Modeling guide from Meta AI. The episode concludes with a mention of Karpathy’s GPT-2 reproduction project and a series on AI concepts by hand from Tommy Yeh.