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

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