{"id":13237,"date":"2026-08-10T10:56:33","date_gmt":"2026-08-10T10:56:33","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-llms-in-production-video-edition-2025-1\/"},"modified":"2026-08-10T10:56:33","modified_gmt":"2026-08-10T10:56:33","slug":"oreilly-llms-in-production-video-edition-2025-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-llms-in-production-video-edition-2025-1\/","title":{"rendered":"Oreilly \u2013 LLMs in Production, Video Edition 2025-1"},"content":{"rendered":"
\n

Description<\/span><\/h2>\n

LLMs in Production, Video Edition. This course teaches you how to safely and efficiently deploy large language model-based applications in production and manage their lifecycle. With clear explanations and rich examples, this practical book shows how these models work, how to interact with them, and how to integrate them into applications. This course helps you understand how large language models differ from traditional software and other machine learning systems, learn best practices for real-world applications, and avoid common mistakes with expert advice. This course provides essential insights into implementing machine learning operations to seamlessly and easily transition a model to production. This course provides practical guidance on topics as diverse as preparing the right training dataset, building the platform, managing large model sizes, prompt engineering, retraining, load testing, controlling costs, and ensuring security. Given the high cost of building and difficulty of changing these models, careful planning, strong data standards, and calculated technical implementation are essential. Integrating these models into operational products directly impacts all aspects of the application, including the application lifecycle, data pipeline, computational costs, and security issues.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n