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83 points wavelander | 1 comments | | HN request time: 0.212s | source
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NeutralCrane ◴[] No.41214178[source]
The more I’ve looked at DSPy, the less impressed I am. The design of the project is very confusing with non-sensical, convoluted abstractions. And for all the discussion surrounding it, I’ve yet to see someone actually using for something other than a toy example. I’m not sure I’ve even seen someone prove it can do what it claims to in terms of prompt optimization.

It reminds me very much of Langchain in that it feels like a rushed, unnecessary set of abstractions that add more friction than actual benefit, and ultimately boils down to an attempt to stake a claim as a major framework in the still very young stages of LLMs, as opposed to solving an actual problem.

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1. isoprophlex ◴[] No.41218357[source]
The magic sauce seems to be, at every turn, "... if you have some well defined metric to optimize on."

And that's not really a given, in reality. It allows all sorts of tricks to do what DSPy is aiming for, which you won't be able to do in real life.

Unless I'm sorely mistaken, but that's my take on the whole thing.