How AuPair uses iterative code repairs to improve LLMs

Uncover the secrets of LLM self-improvement. This article by Sudheer Singh reveals how AuPair leverages iterative code repairs to supercharge model learning, adding partially correct fixes back into the training data for continuous enhancement. Learn how this innovative approach could revolutionize the way we train AI.

To view or add a comment, sign in

Explore topics