Agents2h ago
Autonomous AI Research For NanoGPT Speedrun
A new project attempts to automate the optimization of NanoGPT through iterative, agentic research loops. The system autonomously tests hyperparameters and architectural tweaks to accelerate training convergence. It demonstrates a narrow but functional application of AI-driven engineering. Practitioners can use this approach to reduce manual tuning time for small-scale language models.