Hugging Face is an AI community platform and company providing a hub for open-source machine learning models, datasets, and demo spaces. It hosts over 500,000 models and is widely used by the AI research community.
Salesforce released a tutorial demonstrating an end-to-end workflow for its CodeGen model, covering loading from Hugging Face, generating Python functions from natural-language prompts, and adding val…
AMD Radeon GPUs, both integrated and discrete, now support running large language models locally through open-source tools like Lemonade, LM Studio, Ollama, and llama.cpp. A new guide provides step-by…
LectuLibre developed a chunking strategy to translate entire books using large language models while preserving narrative coherence. The pipeline parses documents into logical units like chapters, spl…
Mass General Brigham researchers developed BRIDGE, a multilingual benchmark that evaluates large language models on real-world clinical tasks, revealing significant gaps between AI performance on medi…
Researchers at Sina Weibo released VibeThinker-3B, a 3-billion-parameter language model that matches or exceeds the reasoning performance of much larger systems from Google DeepMind, OpenAI, Anthropic…
Co/Core launches an AI cooperative where members share their own compute hardware to run AI inference jobs, using an open standard and public receipts to ensure transparency. The platform supports exi…
Eleven companies including Google, Microsoft, GitHub, and Hugging Face published the Agentic Resource Discovery (ARD) open specification on June 17, enabling AI agents to dynamically discover and veri…
Hugging Face Spaces users are hitting quota limits on CPU Basic instances despite being marketed as "unlimited hosting," with inconsistent behavior during Restart and Factory Rebuild operations. Users…
Together AI released DeepCoder-14B, an open-source 14B model that matches o3-mini on coding benchmarks, with full training recipe and dataset published for reproducibility. Biome v1.5.0 introduced a -…
Kubernetes' standard security controls, such as RBAC and NetworkPolicies, are insufficient for protecting LLM agents from novel threats like prompt injection and model weight exfiltration. The CNCF ec…
Chinese lab Z.ai released GLM-5.2, a 753-billion-parameter open-weight Mixture-of-Experts model that tops the Artificial Analysis Intelligence Index at #1, but its 1.51 TB weight size makes local depl…
Google, Microsoft, and other tech giants announced Agentic Resource Discovery (ARD), an open standard for publishing, discovering, and verifying AI capabilities across the web. ARD aims to solve the d…
Multiple researchers on Hugging Face report being unable to claim authorship of their papers due to a system bug that blocks re-submission after denial. Users like Hudx111 and hongruijia face persiste…
Zhipu AI released GLM-5.2, a large language model with a 1M-token context window, flexible effort levels, and an MIT license, targeting long-horizon coding tasks. The model introduces IndexShare, an a…
GitHub, Google, Microsoft, Hugging Face, GoDaddy, Cisco, Databricks, NVIDIA, Salesforce, ServiceNow, and Snowflake jointly published the Agentic Resource Discovery (ARD) specification on June 17, enab…
A Hugging Face forum user asked about the biggest challenges in AI agent development today, sparking discussion on the topic. The post highlights ongoing difficulties in building robust AI agents, inc…
NVIDIA released Nemotron 3 Ultra on June 4, 2026, a 550-billion-parameter open-weights model that achieves the highest intelligence score among US open models. The model uses a hybrid Mamba-Transforme…
Google published the open Agentic Resource Discovery (ARD) specification on June 17, 2026, a web standard for publishing, discovering, and verifying AI tools and agents across registries. The specific…
Nexus Labs enabled speculative decoding in vLLM for a fine-tuned 8B model, achieving a 1.9x throughput gain, but discovered that greedy decoding with a draft model is not bit-identical to greedy decod…
VirusTotal security check results for the Hugging Face website show that 1 out of 92 security vendors flagged the URL as malicious, indicating a low but present risk.…