AI Briefing#huggingface
The latest AI and developer news about #huggingface, with the original source and a short summary.
The latest AI and developer news about #huggingface, with the original source and a short summary.
Hugging Face has released a practical guide that clarifies the complex terminology surrounding AI agents.
This clearly defines easily confused concepts like Harness, Scaffold, and Model when building AI Agents.
PapersWithCode has updated its platform with multi-metric support, external paper registration, and paper lineage display features.
A menu bar app has been released that lets you explore Hugging Face models on Mac and manage them with Ollama, MLX, and more.
TabPFN has released a foundation model for tabular data along with extension features.
Cohere has open-sourced Command A+, a 218B-parameter MoE model, under the Apache 2.0 license.
Stability AI released the Stable Audio 3.0 model family, trained on fully licensed data.
A feature has been added to Hugging Face's benchmark dataset that allows filtering results by model size.
The KappaTune fine-tuning technique has been officially integrated into Hugging Face's PEFT library.
NVIDIA released LongLive 2.0, an NVFP4 and parallelization-based system.
Hugging Face released **Carbon-3B**, claiming Evo2-7B-level performance at **275x the speed**.
Hugging Face released 6 Ettin-based rerankers along with the training recipe.
An Indic corpus spanning 11 languages and 8.4B tokens has been released on Hugging Face.
Ant Group released Ring-2.6-1T, a 1T reasoning model for real-world agents.
PaddleOCR 3.5 has added Transformers backend support.
Hugging Face has revived the long-unmaintained PapersWithCode and launched a new site.
OpenBMB released BitCPM4-CANN 1B, 3B, and 8B on Hugging Face.
Orthrus, based on Qwen3, achieved up to 7.8x speedup through lossless parallel generation.
ByteDance has released checkpoints for Cola-DLM, a continuous latent diffusion language model.
InternLM has released Intern-S2-Preview, a 35B scientific multimodal model.
Datadog released Toto 2.0, ranging from 4m to 2.5B parameters, demonstrating clear scaling effects.
MOOSE-Star has released a 7B model and data based on 108,717 NCBI papers.
inclusionAI released Ring-2.6-1T, a 1-trillion-parameter reasoning model.
Hugging Face presented up to a 24% speed improvement by asynchronizing continuous batching.