Optimizing Tool Selection in LLM Workflows(Part 2): A DSPy and PyTorch Benchmark (viksit.substack.com) 1 points by viksit 11mo ago ↗ HN
[–] viksit 11mo ago ↗ Based on the feedback from my last HN post on differentiable routing, I ran a follow-up benchmark: local RNN vs GPT-4o for tool selection in LLM workflows.Same accuracy, 40% lower cost. Appreciate all the suggestions, this post builds on them.
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[ 3.2 ms ] story [ 14.7 ms ] threadSame accuracy, 40% lower cost. Appreciate all the suggestions, this post builds on them.