What is Retrieval Augmented Generation (RAG)? | Use RAG to Improve LLMs

Описание к видео What is Retrieval Augmented Generation (RAG)? | Use RAG to Improve LLMs

RAG, or Retrieval Augmented Generation, is a technique that combines the capabilities of a pre-trained large language model with an external data source. This approach combines the generative power of LLMs like GPT-3 or GPT-4 with the precision of specialized data search mechanisms, resulting in a system that can offer nuanced responses.

This video explores retrieval augmented generation in more detail, giving some practical examples and applications, as well as some resources to help you learn more about LLMs.

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