Show HN: Autoresearch_at_home – SETI_at_home but for LLM training
via github.com
Short excerpt below. Read at the original source.
autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best […]