Agentic Uncertainty Reveals Agentic Overconfidence
Paper
• 2602.06948 • Published
AI & ML interests
A one-year long research workshop on large language models: the Summer of Language Models 21 🌸
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pminervini
authored 3 papers about 4 hours ago
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#289 opened 4 days ago
by
sarthak-saxena
armanc
authored a paper 4 days ago
mmosbach
authored a paper 4 days ago
Post
163
Good news! Ulysses Sequence Parallelism from the Snowflake AI Research and the Deepspeed teams has been integrated into
HuggingFace Trainer, Accelerate and TRL
For extensive details please see this writeup:
https://huggingface.co/blog/ulysses-sp
Thanks a lot to Kashif Rasul for helping make it happen. Also the others in the HF team who helped with integration.
HuggingFace Trainer, Accelerate and TRL
For extensive details please see this writeup:
https://huggingface.co/blog/ulysses-sp
Thanks a lot to Kashif Rasul for helping make it happen. Also the others in the HF team who helped with integration.
pretokenizer Regex issues?
8
#278 opened over 1 year ago
by
hpcpony
Test PR
#286 opened 16 days ago
by
FIRSTACCOUNT69
Test discussion
#287 opened 16 days ago
by
FIRSTACCOUNT69
Test discussion
#288 opened 16 days ago
by
FIRSTACCOUNT69
albertvillanova
posted an
update 18 days ago
Post
1929
🚀 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
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
armanc
authored a paper 24 days ago
nihalnayak
authored a paper 27 days ago
nihalnayak
submitted a paper to Daily Papers 27 days ago
albertvillanova
posted an
update about 1 month ago
Post
1763
5 years already working in democratizing AI 🤗
Grateful to be part of such an awesome team making it happen every day.
Grateful to be part of such an awesome team making it happen every day.
soldni
authored 4 papers about 1 month ago
2 OLMo 2 Furious
Paper
• 2501.00656 • Published
• 22
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
Paper
• 2502.10341 • Published
• 3
olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
Paper
• 2502.18443 • Published
• 9
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Paper
• 2504.11393 • Published
• 18