Machine Learning Upgrade. A Guide to MLOps, LLMs, and ML Infrastructure for Data Scientists

The era of fragmented analytics teams is over: large language models (LLM) have become the foundation of business. This book is a roadmap from idea to implementation of a reliable AI product. Leading industry experts guide the reader through the complete cycle of creating an application based on LLM, shaping a modern industrial pipeline. You will master data versioning, experiment tracking in MLflow, and monitoring models in production. Special attention is paid to the ethics of responsible AI, managing unstructured data, and strategies for seamless integration of neural networks into corporate infrastructure without service interruption. From a set of tools, machine learning transforms into a cohesive system that delivers real business value.