Rag with Python Cookbook (Final Release) by Dominik Polzer (.ePUB)+
File Size: 32.2 MB
Rag with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents (Final Release) by Dominik Polzer
Requirements: .ePUB, .PDF reader, 32.2 MB | True PDF, True EPUB
Overview: As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents. Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI applications through structured hands-on learning. Author Dominik Polzer provides the tools you need to design, implement, and optimize RAG systems for your unique use cases. Whether you’re working with simple data retrieval or designing cutting-edge autonomous agents, this cookbook will help you stay ahead of the curve. This book is written for developers and data scientists who want to build practical generative AI applications. You should be comfortable with Python and familiar with APIs, data processing, and general software development. A deep Machine Learning background is not required. The necessary concepts are introduced as they appear, but you should be ready to write, run, and debug code along the way.
Genre: Non-Fiction > Tech & Devices

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