Haystack - Build customizable LLM pipelines with AI Tools

Haystack - Build customizable LLM pipelines with AI Tools

Learn techniques for document search, RAG, question answering, and answer generation using Haystack components



Sub Category

  • Other IT & Software

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Objectives

  • Learn fundamentals of Haystack2.0. Haystack theory with real world examples
  • Haystack 2.0 Concepts: Pipelines, Components, Document Store, Retrievers
  • Haystack 2.0 Advance Topics : Hybrid Retriever, Advanced Filtering, Self Correcting Loops, Ranker
  • RAG Pipeline: Learn about RAG, Vector store
  • Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thoughts


Pre Requisites

  1. This is not an introductory course. It is designed for individuals with a background in software engineering who are already proficient in Python
  2. Students will be familiar topics such as: git, python, pipenv, environment variables, classes, testing and debugging.
  3. No Machine Learning experience is needed.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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