The publishing house BHV has released a new book titled 'LLMOps. A Practical Guide,' authored by ML engineer Nikita Goryachev. The book is intended for developers looking to integrate large language models into their products and workflows.
The content covers the modern LLM development stack, including prompt engineering, RAG systems, agentic systems, memory, and multimodality. It also addresses production infrastructure, such as vector databases, orchestration technologies, and model evaluation methods.
The author emphasizes that the book is based on practical experience from real-world projects rather than abstract theory. It includes examples and case studies involving the LangChain ecosystem and techniques for deploying models on various hardware, including CPUs.
The guide is aimed at a professional audience, including ML engineers, data scientists, MLOps specialists, backend developers, and technical leads. It serves as a reference for designing AI services and testing hypotheses in corporate environments.
