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Pubblicato 12 feb
Hugging Face (Twitter) RT @turingcom: OpenEnv treats environments as first class infrastructure. Through our collaboration with @AIatMeta and @huggingface, Turing is helping labs run tool-using agents against RL Environments that share: -A standard step and reset API -WebSocket sessions with per-client state -MCP-style tool discovery and calling -Observability hooks for rewards, errors, and drift The payoff is simple. You can reuse the same evaluation pattern across domains and see where agents actually fail in long, tool-heavy workflows. Learn more below.
Pubblicato 12 feb
Hugging Face (Twitter) RT @HuggingPapers: StepFun's Step 3.5 Flash A sparse MoE model with 196B parameters, 11B active per token. Achieves frontier-level reasoning comparable to GPT-5.2 xHigh and Gemini 3.0 Pro at 1/6th the decoding cost. Ranks #1 on MathArena with 97.3% on AIME 2025.
Pubblicato 12 feb
Hugging Face (Twitter) RT @vanstriendaniel: Data Designer from @nvidia now has full @huggingface Hub integration: - load any dataset as a seed - generate synthetic data, - push results straight to the Hub
Pubblicato 12 feb
Hugging Face (Twitter) RT @andimarafioti: 30x real-time speech-to-text in your browser. No installs. No servers. Just open the website.
Pubblicato 11 feb
Hugging Face (Twitter) RT @Xianbao_QIAN: Pony Alpha is open sourced finally. Welcome GLM 5 by @Zai_org on @huggingface ! - 744B parameters (40B active) - 28.5T pretrain tokens - DeepSeek Sparse Attention (DSA) - Trained by asynchronous RL infrastructure slime - MIT license - Native FP8 version available huggingface.co/zai-org/GLM-5
Pubblicato 11 feb
Hugging Face (Twitter) RT @lvwerra: Public benchmarks lag behind what frontier labs are using internally to test and develop LLMs, yet they are the key driver of progress for LLMs. This needs to change! Excited to work with @SnorkelAI who are investing $3M do build out the evaluation ecosystem with the community.
Pubblicato 11 feb
Hugging Face (Twitter) RT @mervenoyann: GLM-5 is out on @huggingface🔥 > A40B/744B, trained on more tokens (28.5T) > outperforms/on par with closed sota > allows commercial use (MIT licensed) 💗 use with vLLM/SGLang locally or through HF Inference Providers thanks to @novita_labs and @Zai_org📦
Pubblicato 11 feb
Hugging Face (Twitter) RT @Zai_org: Introducing GLM-5: From Vibe Coding to Agentic Engineering GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens. Try it now: chat.z.ai Weights: huggingface.co/zai-org/GLM-5 Tech Blog: z.ai/blog/glm-5 OpenRouter (Previously Pony Alpha): openrouter.ai/z-ai/glm-5 Rolling out from Coding Plan Max users: z.ai/subscribe
Pubblicato 11 feb
Hugging Face (Twitter) RT @AntLingAGI: One for all, and all for one 🧧 Introducing Ming-flash-omni-2.0: A specialist in every domain, unified as a capable generalist. A gift from Ling =) - Unified Acoustic Synthesis: Speech, audio, and music combined for unbounded creativity; - "Seeing" to "Knowing": Moving beyond input to true deep semantic understanding; - Native Visual Fusion: Seamless generation, editing, and segmentation;
Pubblicato 11 feb
Hugging Face (Twitter) RT @joinstationf: Europe is building. We’re leading. We're launching F/AI. STATION F x @OpenAI, @Microsoft, @Meta, @MistralAI, @Google, @awscloud, @AnthropicAI, @AMD, @huggingface, @Lovable, @clay, @OVHcloud, @Snowflake, @Cloudflare, @Qualcomm, G42, @sequoia, @generalcatalyst, @lightspeedvp, @seedcamp, @kimaventures, @20vcFund, @motierventures, @DrysdaleVC
Pubblicato 11 feb
Hugging Face (Twitter) RT @Xianbao_QIAN: Oh I need this model in my OpenClaw! SoulX-Singer, a great zero-shot singing voice synthesis model has been released on @huggingface Apache 2 license as well! Check out the demo: https://huggingface.co/spaces/multimodalart/SoulX-Singer And the model: https://huggingface.co/Soul-AILab/SoulX-Singer
Pubblicato 11 feb
Hugging Face (Twitter) RT @MaziyarPanahi: 🚨 OpenMed just expanded the PII detection arsenal. 105 language-specific models for French, German, and Italian, now open source. All Apache 2.0. All free. Forever. European healthcare AI just got a lot more accessible. Supporting GDPR, HIPAA, and privacy compliance: 🇫🇷🇩🇪🇮🇹