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Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

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Is LLM the Next Best Thing After Sliced Bread?

Emmanuel Mason: Sometimes we get excited about the potential of a technology without necessarily considering exactly what kinds of problems it's best suited to solve. He says LLMs are useful for sorting through much larger spaces of data where you may not have as much a priority understanding of like what kinds of entities are important and what things you, what relationships you want to identify. But if you are going to get into the knowledge path, you want to extract knowledge, structure the knowledge, and answer questions with giving concrete evidence.

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