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Auto-RecSys is an autonomous research system for automating long-horizon experimentation on industry-scale recommendation models, using distributed execution, centralized memory, and cognitive-procedural separation to improve efficiency and reliability.
Andrej Karpathy open-sourced an autonomous research agent that runs its own ML experiments overnight using a single GPU, automatically iterating on improvements by editing code and keeping changes that lower validation loss.