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The Future of Data Engineering: AI, LLMs, and Automation

Data Engineering Podcast

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Harnessing AI Context in Data Engineering

This chapter explores the vital role of context in enhancing the effectiveness of large language models (LLMs) within data engineering workflows. It emphasizes the importance of providing relevant yet concise information to LLMs and discusses the integration of best practices in code review processes to maintain business integrity. The chapter also covers the challenges of implementing AI in data engineering, advocating for ongoing experimentation and adaptation as technology evolves.

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