Generative AI with Python: The Developerâs Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems (Rheinwerk Computing) New Edition
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Product details
| Management number | 227601430 | Release Date | 2026/05/09 | List Price | $17.24 | Model Number | 227601430 | ||
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Overwhelmed by the explosion of generative AI toolsâand unsure how to actually build something useful with Python? Youâre not alone. The AI landscape moves fast, models evolve monthly, and most tutorials only teach you to copy code youâll outgrow in a week. This book cuts through the noise and teaches you future-proof generative AI skills that will still matter as the ecosystem keeps shifting.Youâll learn the fundamentals that donât go out of style (tokenization, embeddings, prompt engineering, transformers, diffusion, and fine-tuning) and see exactly how they translate into practical Python workflows. Build text, image, and code generators using modern libraries like PyTorch, Hugging Face, and LangChain. Understand not only how to use these tools, but why they work, so you can adapt your code as models and frameworks continue to evolve.From building RAG applications with your own data to evaluating model outputs and deploying them responsibly, youâll gain the skills to design real, production-ready AI systems instead of relying on black-box APIs. Whether you're a Python developer, data scientist, or ML engineer expanding into generative AI, this book gives you the foundation and flexibility to stay ahead in a rapidly changing field.What Youâll LearnCore concepts behind LLMs, transformers, embeddings, and diffusion modelsHow to generate text, images, and code using modern Python librariesPrompt engineering techniques that dramatically improve output qualityHow to fine-tune models for your use case, including instruction tuningBuild retrieval-augmented generation (RAG) apps with your own dataEvaluation techniques to measure and improve AI outputDeployment strategies for scalable and secure AI applicationsHow to design AI workflows that remain adaptable as models and tools evolve Read more
| ISBN10 | 1493226908 |
|---|---|
| ISBN13 | 978-1493226900 |
| Edition | New |
| Language | English |
| Publisher | Rheinwerk Computing |
| Dimensions | 1.25 x 7 x 10 inches |
| Item Weight | 1.57 pounds |
| Print length | 392 pages |
| Publication date | May 28, 2025 |
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