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Hugging Face
Hugging Face Revolutionizes Large Model Training with Delta Weight Synchronization
Hugging Face's latest innovation in its Transformer Reinforcement Learning (TRL) library introduces Delta Weight Synchronization, a game-changer for training massive AI models.
Unlocking the Future of AI Agents: IBM Research and Hugging Face Launch the Open Agent Leaderboard
IBM Research and Hugging Face have unveiled the Open Agent Leaderboard, a crucial new platform designed to benchmark and evaluate the performance of AI agents. This initiative promises to bring much-needed transparency, standardization, and a common ground for developers and researchers in the burgeoning field of agentic AI.
PaddleOCR 3.5 Bridges Ecosystems: Running Document Parsing with Hugging Face Transformers
PaddlePaddle has announced the integration of PaddleOCR 3.5 with the Hugging Face Transformers backend. This milestone update allows developers to run high-performance OCR, layout analysis, and document parsing seamlessly within PyTorch-dominated pipelines, streamlining RAG and Document AI workflows.
Democratizing Robotic World Models: Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA and DoRA
NVIDIA's Cosmos Predict 2.5 is a powerhouse for physical world simulation. Now, thanks to Hugging Face's PEFT integration, developers can customize these massive models for specific robotic tasks using LoRA and DoRA.