Udemy – Haystack – Build customizable LLM pipelines with AI Tools 2024-6

Haystack is a comprehensive framework that accompanies you through all stages of the lifecycle of productive AI projects. Whether you want to search for documents, generate content using retrieved information (RAG), answer questions, or generate summary answers, Haystack can integrate advanced Embedding and LLM models into the pipeline to create complete Natural Language Processing (NLP) applications for Solve your problems.

What you will learn:

• Basic Concepts of Haystack 2.0: Understand the basics of Haystack 2.0 by learning its various components and Haystack theory with practical examples.
• Real World Applications: Implementing Haystack components in real projects
• Prompt Engineering: Learn prompt engineering techniques such as Zero Shot, Few Shot and Chain of Thought
• RAG pipeline: Introduction to RAG and vector database
• Advanced concepts of Haystack 2.0: pipeline, components, document database, information retrieval, evaluators
• Advanced Data Retrieval Techniques: Retrieval Filter, Retrieval Based on Sparse Keywords, Retrieval Based on Dense and Sparse Embedding (SPLADE)
• Model-based evaluators: fidelity evaluator (LLM-As-A-Judge), SAS evaluator, text relevance evaluator
• Advanced Haystack 2.0 Topics: Reranking, Combinatorial Retrieval, Advanced Filtering, Self-healing Loops, Dialog/Agent Pipeline Using OpenAI Function Calls, LLM-As-A-Judge, Model-Based Evaluation

Who is this course suitable for?

• Software Developers: People looking to gain skills in building productive AI applications using Haystack.
• Data Scientists: People looking to use Haystack to build advanced LLM solutions.
• People looking to learn about building generative AI applications based on Haystack.

Installation guide

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