Retrieval Augmented Generation (RAG) for LLMs: Your fast guide to creating accurate high-quality texts (large language models) (RAG for LLMs: Your Fast Track to Perfect Text)

Jason Dwight Retrieval Augmented Generation for LLMs Reviews Summary

Ratings Breakdown

Rated 3.4 by 9 people

Pros from Reviews

    None found

Cons from Reviews

  • No useful information
  • Poor content quality
  • Unusable pseudo-code
  • Inefficient layout
  • Redundant information
  • Formatting issues
  • Lack of practical examples
  • Limited context on frameworks

Notable Features

Independently Published
176 Pages
English Language
ISBN-13
Best Seller Rank
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