Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems

By: Gollnick, Bert

Your guide to generative AI with Python is here Start with an introduction to generative AI, NLP models, LLMs, and LMMs--and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master

Highlights:

1) Natural language processing (NLP) models
2) Large language models (LLMs)
3) Pretrained models
4) Prompt engineering
5) Vector databases
6) Retrieval-augmented generation (RAG)
7) Agentic systems
8) OpenAI
9) LangChain
10) Hugging Face
11) crewAI
12) AG2

• Format: Paperback
• Language: English
• ISBN: 1493226908
• ISBN13: 9781493226900
• Release Date: May 2025
• Publisher: Rheinwerk Computing
• Length: 392 Pages
• Weight: 1.57 lbs.
• Dimensions: 0.8" x 7.1" x 10.0"