Building Generative AI for Enterprise by Devesh Rajadhyax (.ePUB)+
File Size: 10 MB
Building Generative AI for Enterprise: A practical guide to developing GenAI systems to solve business problems by Devesh Rajadhyax
Requirements: .ePUB, .PDF reader, 10 MB | True EPUB, PDF (conv)
Overview: Generative AI is transforming the corporate world, and understanding its core architecture is now essential for every tech professional. This book serves as a complete roadmap, guiding you from the theoretical foundations of transformer models to the successful deployment of production-ready AI systems. This book systematically covers the AI lifecycle, moving from transformer foundations and SOTA models like GPT-4o to advanced prompt engineering and fine-tuning with LoRA on Google Colab. You will progress through building RAG systems and Knowledge Graphs with LangChain, eventually developing autonomous agents using ReAct and LlamaIndex. Finally, the book details deploying scalable systems via FastAPI and Kubernetes while ensuring security through AI governance and Microsoft’s Responsible AI Toolbox. By the end of this book, you will have built real-world projects in healthcare and finance. This book equips practitioners with the skills and confidence needed to build, deploy, and enhance generative AI systems that are enterprise-ready and future-proof. This book is for IT professionals, students, and enterprise data science teams aspiring to build AI systems. It requires basic Python programming knowledge, but no prior experience with Machine Learning is necessary, making it ideal for software engineers and aspiring architects.
Genre: Non-Fiction > Tech & Devices
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