1
Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster
Karpathy's autoresearch runs one experiment at a time. We gave it access to our GPU infra and let it run experiments in parallel.
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2
Research-Driven Agents: When an agent reads before it codes
Coding agents working from code alone generate shallow hypotheses. Adding a research phase — arxiv papers, competing forks, other backends — produced 5 kernel fusions that made llama.cpp CPU inference 15% faster.
3
Cookbook: Finetuning Llama 2 in your own cloud environment, privately
An operational guide on finetuning Llama 2, ready for commercial use.