Automating LLaMA 3.2 Fine-Tuning and Auto-Research Workflows
algo_diver · x · 2026-07-10
The author shares how to use AntiGravity on GCP TPU VM nodes to automate the fine-tuning loop of LLaMA 3.2, addressing the limitations that hyperparameter optimization and infrastructure bottlenecks impose on machine learning research. This agentic architecture enables an autonomous auto-research workflow.
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