Modern Data Engineering for LLMs: Architect, Automate, and Optimize Data Pipelines for AI Systems
by Alira Vexel
Modern Data Engineering for LLMs explores how to architect, automate, and optimize data pipelines for AI systems. With a focus on large language model workflows, it offers a practical introduction to the data engineering concepts and processes that help support modern, data-driven applications.
About This Book
Modern Data Engineering for LLMs focuses on the data pipelines that support large language model systems.
It addresses the connected work of architecting, automating, and optimizing data workflows for AI applications.
The book is aimed at readers seeking a practical perspective on preparing and managing data for modern language-model-based systems.
Use it as an introduction to the data engineering considerations involved in building and improving LLM workflows.
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