KDnuggets AI/ML

Data Engineering for the LLM Age

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Large language models require high-quality data to perform effectively. The article explores essential data engineering practices for the LLM era, including data pipelines, specialized tools, and Retrieval-Augmented Generation (RAG) architecture. These technologies are critical for preparing data that enables AI systems to deliver superior results. Understanding modern dataengineering approaches is fundamental to building robust AI applications.

Datakunde voor het LLM-tijdperk - Mediazone AI News