Speaker: Jay Alammar
He / him / his
Director & Engineering Fellow @Cohere & Co-Author of "Hands-On Large Language Models"
Jay is the co-author of Hands-On Large Language Models. Through his blog and YouTube channel, Jay has helped millions of people wrap their heads around complex machine learning topics. Jay harnesses a visual, highly-intuitive presentation style to communicate concepts ranging from the most basic intros to data analysis, interactive intros to neural networks, to dissections of state-of-the-art models in Natural Language Processing.
Jay is Director and Engineering Fellow at Cohere, a leading provider of large language models for text generation, search, and retrieval-augmented generation for the enterprise.
Session
Retrieval-Augmented Generation (RAG) Patterns and Best Practices
The rise of LLMs that coherently use language has led to an appetite to ground the generation of these models in facts and private collections of data.