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An AI optimization made llama2.c finish sooner and start streaming later
This is a submission for the Kaggle Benchmarking Challenge .
I built a Kaggle benchmark to test whether coding agents can make a real CPU inference program faster while preserving its tested behavior. Gemini, Claude and GPT read, edit and test the C source of Karpathy’s llama2.c under the same tool-call and editing limits. Their resulting programs run TinyStories checkpoints of 15M, 42M and 110M parameters across several request workloads.
The benchmark evaluates both the edited program ...
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