Patrick Lewis (Cohere) - Retrieval Augmented Generation
Analysis
This article summarizes a podcast episode featuring Dr. Patrick Lewis discussing Retrieval Augmented Generation (RAG). It highlights key topics such as the evolution of RAG, challenges in evaluation, human-AI collaboration, and data quality. The article also promotes Brave Search API and Cohere's Command Models.
Key Takeaways
- •Dr. Patrick Lewis, the creator of the term RAG, discusses the technology's evolution.
- •The article highlights challenges in evaluating RAG systems and language models.
- •Data quality is emphasized as crucial for AI model training.
- •The discussion covers human-AI collaboration and various applications of RAG.
Reference
“The article mentions the origins and evolution of Retrieval Augmented Generation (RAG), challenges in evaluating RAG systems and language models, and the importance of data quality in training AI models.”