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Betting on DSPy for Systems of LLMs
A blog about AI and random thoughts.
Do not, however, get fooled into thinking that just because a bunch of LLMs throw nonsense at each other for millions of tokens, anything valuable can be produced without verifying it in the real world. To answer the question in the title succinctly, I personally think that DSPy is and will continue to be an amazing tool for solving real-world problems with compound LLM systems. I can't stop people from breaking off the main framework and building their own thing, but by doing so they are opting out of the incoming reliability and future optimizations that DSPy brings.
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