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Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167

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How to Optimize Your Test Suite for Different Use Cases

The key is there's always going to be a huge portion of key that's in the prompt itself, but there's a lot in terms of like potentially fine tuning these models. So I would take a base model with a set of weights and then instead of like passing a lot of context in the prompt, maybe the real solution is to train further these models down the line. That library is still useful regardless of your approach in the end.

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