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It’s funny: I found the optimizer (which you could quite easily rip out from DSPy) to be the most underwhelming part of the equation.



The rest is neat but scary for most production scenarios, while a prompt autotuner can give significant lift + resilience in a predictable & maintainable way to most typical LLM apps

Again... I'm truly happy and supportive that academics are exploring a wild side of the design space. Just, as we are in the 'we ship code people rely on' side of the universe, it's hard to find scenarios where its potential benefits outweigh its costs.




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