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Albert Villanova del Moral
albertvillanova
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ML Engineer @ Hugging Face: Agents (Science)
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🚀 TRL v0.29.0 introduces trl-training: an agent-native training skill. This makes the TRL CLI a structured, agent-readable capability, allowing AI agents to reliably execute training workflows such as: - Supervised Fine-Tuning (SFT) - Direct Preference Optimization (DPO) - Group Relative Policy Optimization (GRPO) We’re excited to see what the community builds on top of this. If you’re working on AI agents, alignment research, or scalable RL training infrastructure: give TRL v0.29.0 a try! 🤗 The future of ML tooling is agent-native. 🔗 https://github.com/huggingface/trl/releases/tag/v0.29.0
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albertvillanova/tmp-multiple-push
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albertvillanova/tmp-state-on-load-ds
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albertvillanova/tmp-open-llm-leaderboard-results
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albertvillanova/tmp-struct-wikipedia
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albertvillanova/tmp-struct
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albertvillanova/tmp-example-readme
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albertvillanova/tmp-jsonl-dot
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albertvillanova/tmp-zip-ljson
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albertvillanova/tmp-tar
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albertvillanova/gated-csv
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albertvillanova/tmp-csv-revision
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