Build Your Own autoresearch — Applying Autonomous Experimentation to Any Domain
Apply the autoresearch pattern to text classification, image classification, and RAG pipelines. Includes a universal experiment runner and program.md template.
Build Your Own autoresearch -- Applying Autonomous Experimentation to Any Domain
Karpathy's autoresearch is an autonomous experimentation system built for LLM pretraining. In Part 1 we covered the overall architecture, and in Part 2 we dug into the agent's experimentation strategy and result analysis. If you've read this far, one question is probably on your mind:
"Can I use this for my own problem?"
In this post, we extract the core patterns from autoresearch and apply them to three domains: text classification, image classification, and RAG pipelines. At the end, we provide a general-purpose experiment runner and a program.md template you can adapt immediately.
Series: Part 1: Architecture | Part 2: Experiment Strategy | Part 3 (this post)
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