7min chapter

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Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

MLOps.community

CHAPTER

Convergence of Software Development and Machine Learning

The chapter delves into the merging realms of traditional software development and machine learning, showcasing faster iteration cycles with foundational models and the shift towards a more iterative ML development approach similar to software engineering practices. It discusses the evolving role of software engineers towards data skills and metric-driven development, emphasizing the speed and accessibility of extracting value from AI through data engineering and the utilization of synthetic data for innovative applications.

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