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How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day

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Hugging Face posted a demo yesterday about getting Claude Code to fine-tune an open LLM. But the researchers from Sionic AI already do most of their work with Claude Code. It writes training scripts, debugs CUDA errors, searches hyperparameters overnight. For the actual work of building models, Claude has become the default partner. But there was one thing it couldn't do - remember what the teammates learned last week. Last month, Sigrid spent three days running experiments on ColBERT parameter configurations. He tested over fifty combinations. He found that longer text chunks, around 4,000 characters, made FDE outperform MaxSim in retrieval tasks. This was a genuine discovery, the kind that saves weeks of work for anyone who encounters the same problem later. Note: FDE stands for Fixed Dimensional Encoding. It's a technique from Google DeepMind's MuVERA paper that compresses ColBERT's multi-vector representations into a single fixed-size vector. We open-sourced our implementation at s

How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day Back to Articles a]:hidden"> How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day Community Article Published December 8, 2025 Upvote 59 +53 Sigrid Jin sigridjineth Follow sionic-ai Giving Claude a Team Memory (￣ー￣)ノ✧ Hugging Face posted a demo yesterday about getting Claude Code to fine-tune an open LLM. But the researchers from Sionic AI already do most of their work with Claude Code. It writes training scripts, debugs CUDA errors, searches hyperparameters overnight. For the actual work of building models, Claude ha

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