Mastering LLMOps with Databricks and MLflow: A Practical Guide to Building, Deploying, and Governing Large Language Models in the Lakehouse
Format:
Paperback
En stock
0.59 kg
Sí
Nuevo
Amazon
USA
- Mastering LLMOps with Databricks and MLflow: A Practical Guide to Building, Deploying, and Governing Large Language Models in the LakehouseIn today’s AI-driven world, building large language models is no longer enough — the real challenge lies in operationalizing them. Mastering LLMOps with Databricks and MLflow is your complete, hands-on roadmap to taking LLMs from the lab to large-scale production — efficiently, securely, and responsibly.This comprehensive guide dives deep into the end-to-end lifecycle of LLMOps, showing you exactly how to leverage Databricks’ Lakehouse platform, MLflow, Unity Catalog, and Delta Lake to build reliable, governed, and enterprise-ready AI systems. Whether you’re fine-tuning models, orchestrating workflows, or managing data governance, this book equips you with the practical skills and architectural insight needed to deliver production-grade generative AI solutions.
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