We are buidling a new class of interpretable AI systems and foundation models that humans can reliably debug, trust, and understand.
Introducing Guide Labs: Engineering Interpretable and Auditable AI Systems
November 17, 2024
Understand which part of the prompt is responsible for the output.
THE PROBLEM
OUR SOLUTION
YEARS OF EXPERIENCE
on interpretable machine learning with PhDs from MIT, UMD, & MILA.
RESEARCH PAPERS
on interpretability published at top ML conferences
Developed the first
Proven best practices