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Beschreibung
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
The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems
Details
| Verlag | Rheinwerk Publishing |
| Ersterscheinung | 06. Juni 2025 |
| Maße | 25.4 cm x 17.8 cm |
| Gewicht | 690 Gramm |
| Format | Softcover |
| ISBN-13 | 9781493226900 |
| Seiten | 392 |