This startup’s new mechanistic interpretability tool lets you debug LLMs

Goodfire, a San Francisco startup, has launched Silico, a new tool for mechanistic interpretability that allows researchers to debug and adjust LLM parameters during training. This innovation aims to give model makers more fine-grained control over AI development. While not directly impacting financial advisors' daily workflows, this development could lead to more robust and transparent AI models in the future, which is beneficial for any industry relying on AI.