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7min chapter
Metrics Driven Development (Practical AI #284)
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Exploring Innovations in LLM Applications and Synthetic Data
This chapter explores the promising future of large language model applications, focusing on the integration of tool use cases and retrieval-augmented generation. The discussion emphasizes the need for improved evaluation standards, the significance of synthetic data, and the advancements in AI development frameworks and libraries.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode