Verification in AI
Patrick emphasizes the importance of verifying information provided by models, likening it to learning to drive a car—one must be trained to discern reliable data. He discusses how retrieval-augmented systems can enhance transparency by indicating the sources of information, making it easier for users to trace back and validate claims. Tim adds that specific training for models like command R improves their effectiveness in retrieval-augmented generation tasks.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Related Questions
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data in the episode Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672 and the clip Instruction Tuning Insights?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data in the episode "Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672" and the clip "Instruction Tuning Insights"?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data in the episode Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672 and the clip Instruction Tuning Insights?