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AI, ML, and Data Engineering Trends in 2024

The InfoQ Podcast

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Navigating the Landscape of Small Language Models

This chapter explores the rapid evolution and deployment of small language models (SLMs) in enterprise settings, focusing on their performance advantages and cost efficiency over larger counterparts. It emphasizes the importance of high-quality data in training these models and discusses the challenges in evaluating their effectiveness for specific business tasks. The dialogue highlights the necessity of a tailored approach to model selection, encouraging experimentation to find best-fit solutions for real-world applications.

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