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It is “good enough”. Where I struggle is maintaining its memory through a longer request where multiple iterations fail or succeed and then all of a sudden its memory is exceeded and starts fresh. I wish I could store “learnings” that it could revisit.

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Sounds like you want something like tree of thoughts: https://arxiv.org/abs/2305.10601

Interestingly the paper's repo starts off :

Blah Blah "...is NOT the correct implementation to replicate paper results. In fact, people have reported that his code cannot properly run, and is probably automatically generated by ChatGPT, and kyegomez has done so for other popular ML methods, while intentionally refusing to link to official implementations for his own interests"

Love a good GitHub Identity Theft Star farming ML story

But this method could have potential for a chain of function

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