•1 min read•from Machine Learning
[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost
![[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost](/_next/image?url=https%3A%2F%2Fexternal-preview.redd.it%2Fq3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png%3Fwidth%3D640%26crop%3Dsmart%26auto%3Dwebp%26s%3Dde730fbf7ecace6df0036b21470c16a2d4feacfb&w=3840&q=75)
| Token-based billing is causing my company to reevaluate small language models. I came across this paper that shows SLM supervised fine-tuning on traces from orchestration of frontier models can be nearly as performant and much cheaper. Has any tried this in the real world? [link] [comments] |
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