Understanding Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

TLDRLearn about Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and how they can generate answers to user questions based on prompt input and retrieved documents.

Key insights

🗂️Large Language Models (LLMs) generate answers based on prompt input and their own knowledge.

🔎Retrieval-Augmented Generation (RAG) combines generation with retrieval of information from documents.

Q&A

How do LLMs generate answers?

—LLMs generate answers based on the provided prompt input and their own knowledge.

What is Retrieval-Augmented Generation (RAG)?

—RAG combines generation with retrieval of information from documents to provide more accurate and context-aware answers.

Timestamped Summary

10:39Large Language Models (LLMs) have a large number of parameters compared to basic language models used in smartphones.

13:37Retrieval-Augmented Generation (RAG) combines generation with the retrieval of information from documents to provide more accurate and comprehensive answers.

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