Edit ‘autogollark’
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@@ -25,6 +25,7 @@ Autogollark currently comprises the dataset, the search API server and the [[htt
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* {RL (also include reasoning, of course). Probably hard though (sparse rewards). https://arxiv.org/abs/2403.09629. [[https://arxiv.org/abs/2503.22828]] would probably work.
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* Unclear whether model could feasibly learn tool use "from scratch", so still need SFT pipeline.
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}
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* https://arxiv.org/abs/2310.04363 can improve sampling (roughly) //and// train for tool use.
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}
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* {Local finetune only? Would be more tonally consistent but dumber, I think.
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* Temporary bursts of hypercompetence enabled by powerful base model are a key feature. Small model is really repetitive.
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