Augmented Generation Challenges
The discussion highlights the complexities of implementing information retrieval systems within enterprises, emphasizing the challenges of integrating various data sources. Tool use is examined as a critical aspect, where the need for effective query formulation and parallel retrievals complicates the process. Additionally, the concept of grounded generation is introduced, focusing on how citations play a role in enhancing information accuracy and relevance.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 as discussed in the episode Patrick Lewis on Retrieval-Augmented Generation - Weaviate Podcast #76!
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?