Stop guessing why your LLMs break: Anthropic’s new tool shows you exactly what goes wrong

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) are transforming how enterprises operate, but their “black box” nature often leaves enterprises grappling with unpredictability. Addressing this critical challenge, Anthropic recently open-sourced its circuit tracing tool, allowing developers and researchers to directly understand and control models’ inner workings. This tool allows investigators to investigate unexplained errors and unexpected behaviors in open-weight models. It can also help with granular fine-tuning of LLMs for specific internal functions. Understanding the AI’s inner logic This circuit tracing tool works based on “mechanistic interpretability,” a burgeoning field dedicated to understanding how AI models function based on their internal activations rather than merely observing their inputs and outputs. While Anthropic’s initial research on circuit tracing ap ... Read full article.