10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Generative AI Apps With LangChain and Python

View All Editions (1)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Generative AI Apps With LangChain and Python Synopsis

Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents.  This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level.

Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you'll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries.

Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you'll learn-by-be doing, enhancing your career possibilities in today's rapidly evolving landscape.

What You Will Learn

  • Understand different types of LLMs and how to select the right ones for responsible AI.
  • Structure effective prompts.
  • Master LangChain concepts, such as chains, models, memory, and agents.
  • Apply embeddings effectively for search, content comparison, and understanding similarity.
  • Setup and integrate Pinecone vector database for indexing, structuring data, and search.
  • Build Q & A applications for multiple doc formats.
  • Develop multi-step AI workflow apps using LangChain agents.

Who This Book Is For

Python programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.

 

About This Edition

ISBN: 9798868808814
Publication date:
Author: Rabi Jay
Publisher: Apress
Format: Paperback
Pagination: 513 pages
Genres: Programming and scripting languages: general
Artificial intelligence