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Building Agent-Powered Applications. Your guide to generative AI, RAG, fine-tuning, and orchestration for production use Vasyl Zvarydchuk

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Building Agent-Powered Applications. Your guide to generative AI, RAG, fine-tuning, and orchestration for production use Vasyl Zvarydchuk - okladka książki

Building Agent-Powered Applications. Your guide to generative AI, RAG, fine-tuning, and orchestration for production use Vasyl Zvarydchuk - okladka książki

Building Agent-Powered Applications. Your guide to generative AI, RAG, fine-tuning, and orchestration for production use Vasyl Zvarydchuk - audiobook MP3

Building Agent-Powered Applications. Your guide to generative AI, RAG, fine-tuning, and orchestration for production use Vasyl Zvarydchuk - audiobook CD

Autor:
Vasyl Zvarydchuk
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
490
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Large language models can produce impressive demos, but turning them into reliable products takes more than better prompts. You need to understand model behavior, know when to use retrieval or fine-tuning, structure agents correctly, and evaluate systems before deployment.
Building Agent-Powered Applications gives an end-to-end engineering perspective on creating production-ready generative AI solutions. Written by Microsoft Principal AI Engineer Vasyl Zvarydchuk, it helps software engineers, data scientists, and applied AI practitioners move from concept to implementation. You’ll begin with AI, NLP, embeddings, transformers, and LLM behavior, then progress to prompt engineering, summarization, classification, extraction, reasoning, RAG, and fine-tuning.
The book shows how to design agentic workflows with tools, memory, planning, orchestration, and human-in-the-loop controls. You’ll learn to evaluate quality with offline and online testing, task-specific metrics, LLM-as-a-judge methods, and responsible AI checks. Rather than treating prompting, RAG, fine-tuning, and agents as separate topics, this book shows how they work together in practice. By the end, you’ll be able to make better architectural trade-offs, reduce failure modes, and build scalable, trustworthy AI applications.
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O autorze książki

Vasyl Zvarydchuk is a principal AI engineer, applied data scientist, and researcher with over 15 years of experience building AI-powered and data-driven systems. With expertise across software engineering, artificial intelligence, machine learning, and data science, he brings together deep research insight and practical engineering experience. He has worked on the design and architecture of large-scale, distributed, and cloud-based systems, helping deliver intelligent solutions with real-world business impact. His experience spans both the theoretical foundations of AI and the practical challenges of building production-ready systems. Vasyl holds a Ph.D. in artificial intelligence, applied mathematics, and computer science. 

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