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Generative AI with Python

Generative AI with Python

The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems

Contenu

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) AutoGen

Informations bibliographiques

octobre 2025, env. 475 pages, Anglais
Rheinwerk
978-1-4932-2690-0

Mots-clés

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