… Are you guys using AI for advice? I wonder which of 2 million AI models you are using 😄 Great news. Serving with llama.cpp using HF-hosted models, including unsloth's on AMD Strix Halo and OpenCode here. …
… Most of the models that I want to use don't have HF Inference option, only Togheter AI. Looking at my quota seems like I have 20k credits only for HF Inference. …
… Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety 2026 Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework 2026 CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments 2… …
Papers arxiv:2605.10977 PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Published on May 9 Submitted by Sicheng Feng on May 13 HKUSTGZ Authors: Zhenxin Ai , Haiyun He Abstract PASA is a robust watermarking algorithm for large language… …
… AI-generated summary Although natural language is the default medium for Large Language Models LLMs , its limited expressive capacity creates a profound bottleneck for complex problem-solving. …
… Regarding the maximum models size we can train using this approach, at the beginning of the article it's mentioned "models from 0.5B to 70B parameters" but at the end you write that "For large models 7B+ , this HF skills job is not suitable", which order of magnitude is correct? …
… View arXiv page View PDF GitHub 10 Add to collection Community ICML2026 Get this paper in your agent: hf papers read 2605.11711 Don't have the latest CLI? curl -LsSf https://hf.co/cli/install.sh | bash No dataset linking this paper Cite arxiv.org/abs/2605.11711 in a dataset README.md to link it fro… …
Papers arxiv:2605.12492 Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Published on May 12 Submitted by Weiyang Liu on May 13 The Chinese University of Hong Kong Authors: , , , , , Abstract Pion is a spectrum-preserving optimizer for large language model training th… …
… This reduced drift also preserves plasticity: after training on one task, FST trained models adapt more effectively to a subsequent task than parameter-only trained models. …
… AI-generated summary Intensive care units ICU generate long, dense and evolving streams of clinical information, where physicians must repeatedly reassess patient states under time pressure, underscoring a clear need for reliable AI decision support. …