• views: 109
• date: 26 June 2024
• posted by: voska89

Learn techniques for document search, RAG, question answering, and answer generation using Haystack components
What you'll learn:
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: Introduction to LLM(from Guardrails), Learn about RAG, Vector store
Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thoughts
Requirements:
This is not an introductory course. It is designed for individuals with a background in software engineering who are already proficient in Python
Students will be familiar topics such as: git, python, pipenv, environment variables, classes, testing and debugging.
No Machine Learning experience is needed.
Description:
Haystack is an end-to-end framework that accompanies you in every step of the GenAI project life cycle. Whether you want to perform document search, retrieval-augmented generation (RAG), question answering, or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.This beginner to advanced all-encompassing course aims to swiftly show you how to leverage the Haystack 2.0 library for LLM applications. You will acquire the expertise and insights required to create state-of-the-art LLM solutions across a wide array of subjects.What you'll learn:Haystack Foundations : Understand fundamentals of Haystack2.0 by learning Haystack components. Haystack theory with applicationsReal-World Applications : Implement Haystack components with real world applicationsPrompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of ThoughtRAG Pipeline : Learn about RAG, Vector storeHaystack 2.0 Concepts : Pipelines, Components, Document Store, Retrievers Haystack 2.0 Advance Topics : Ranker, Hybrid Retriever, Advanced Filtering, Self Correcting LoopsDuring the course, you will engage in practical exercises and real-world projects to solidify your grasp of the concepts and methods discussed. By the course's conclusion, you will be skilled in utilizing Haystack to develop robust, efficient, and adaptable LLM applications for a broad range of uses.Who Should Enroll:AI developers, data scientists, business leaders looking to acquire skills in building generative AI-based applications with Haystack
Who this course is for:
Software Engineers looking to acquire skills in building generative AI-based applications with Haystack
Homepage

https://www.udemy.com/course/haystack-training-course-customizable-llm-pipelines-genai-tools/

   
   
   

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