Jay Alammar on LLMs, RAG, and AI Engineering
Published:Aug 11, 2024 20:16
•1 min read
•ML Street Talk Pod
Analysis
This article summarizes a podcast interview with Jay Alammar, a prominent AI expert. It covers key topics like LLMs, RAG, and AI engineering, highlighting Cohere's approach and providing insights into industry challenges and future trends. The inclusion of a sponsor advertisement for Brave Search API and links to resources like Cohere's Command R model and Jay Alammar's book and social media profile suggests a promotional aspect alongside the informational content. The table of contents provides a structured overview of the discussion.
Key Takeaways
- •Jay Alammar discusses LLMs, RAG, and AI engineering.
- •Cohere's approach to RAG and AI re-ranking is highlighted.
- •The article touches upon challenges and solutions for implementing AI in enterprises.
- •Semantic search and embeddings are discussed as key components of AI systems.
- •The future of transformer models is mentioned.
Reference
“The article doesn't contain direct quotes, but summarizes the discussion.”