top | item 44663980 Optimizing Tool Selection in LLM Workflows(Part 2): A DSPy and PyTorch Benchmark 1 points| viksit | 7 months ago |viksit.substack.com 1 comment order hn newest viksit|7 months 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.
viksit|7 months 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.
viksit|7 months ago
Same accuracy, 40% lower cost. Appreciate all the suggestions, this post builds on them.