Retrieval Augmented Generation
Nick emphasizes the importance of applying technology to solve real-world problems rather than pursuing AGI. He discusses the recent launch of Command R models, which enhance language models through retrieval augmented generation, allowing them to utilize external knowledge effectively. Reflecting on his time at Google Brain, he shares how working with Jeff Hinton shaped his understanding of research and machine learning.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Cohere co-founder Nick Frosst on building LLM apps for business
Related Questions
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode Vectoring in on Pinecone with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?