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Google shows agents running fine-tuning experiments with Tunix and TPUs

Google's developer walkthrough uses an agent to modify training settings, run experiments, evaluate results, and keep or revert changes in Git. The examples cover FunctionGemma supervised fine-tuning and Gemma reinforcement learning; these are bounded experiments, not a general guarantee of self-improvement.

Published (date only)Updated 2 sources

Primary source

Google Developers

Read the original: Autonomous LLM post-training with Tunix on TPUs

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