Search:Hugging Face

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Sep 112026Friday

07:10
cohere_blogSep 11 07:10Selected
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#company #Model releases #Open-source ecosystem #Hugging Face

Sep 102026Thursday

08:00
hugging_faceSep 10 08:00
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#lab #Tutorials / practice #English text is being prepared.#Open-source ecosystem

Sep 92026Wednesday

08:00
Ant Ling: Developer BlogSep 9 08:00Selected
Ant Ling Open-Sources Native Multimodal Model Ling-3.0-flash-VL
Ant Ling has released and open-sourced Ling-3.0-flash-VL, the first native multimodal large model in the Ling series. Built as an extension of the Ling-3.0-flash MoE architecture, it has 124B total parameters and 5.5B activated per inference, natively supports image, text, and video inputs, and has a 256K Token context window. The company says native multimodal joint training improved the model's score on the Artificial Analysis Intelligence Index v4.1.1 by 4 points over the text-only version, and it introduces a visual feedback loop of observe, act, verify, and correct for front-end replication, GUI Agent, and medical report interpretation. The model is now available for free trial on Ling Studio, and the BF16 and FP8 versions have been open-sourced on Hugging Face and ModelScope.
and has a 256K Token context window. The company says native multimodal joint training improved the model's score on the Artificial Analysis Intelligence Index v4.1.1 by 4 points over the text-only version, and it introduces a visual feedback loop of observe, act, verify, and correct for front-end replication, GUI Agent, and medical report interpretation. The model is now available for free trial on Ling Studio, and the BF16 and FP8 versions have been open-sourced on Hugging Face and ModelScope.
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#engineering #Model releases #Multimodal #Open-source ecosystem

Sep 82026Tuesday

21:40
unslothaiSep 8 21:40
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#company #English text is being prepared.#Hugging Face #English text is being prepared.

Sep 72026Monday

04:08
hendrycksSep 7 04:08
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#analysis #Safety / alignment #Agents #OpenAI

Sep 32026Thursday

21:13
hugging_faceSep 3 21:13
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#lab #Model releases #Multimodal #Open-source ecosystem
08:00
Hugging FaceSep 3 08:00
Training a coding model to paint watercolors with TRL and OpenEnv
A Hugging Face blog post introduces a project that uses TRL and OpenEnv to train a coding model to paint watercolors: the model outputs about 150 lines of JavaScript code and paints via the p5.brush library, and the prompt allows only 10 of the library's 47 methods. The reward is jointly given by the HPSv3 open 7B preference model and a Qwen3-VL-30B-A3B-Instruct pairwise judge, which compares candidate paintings with 4 randomly drawn reference images; three runs with different weight ratios were trained in total.
A Hugging Face blog post introduces a project that uses TRL and OpenEnv to train a coding model to paint watercolors: the model outputs about 150 lines of JavaScript code and paints via the p5.brush library, and the prompt allows only 10 of the library's 47 methods. The reward is jointly given by the HPSv3 open 7B preference model and a Qwen3-VL-30B-A3B-Instruct pairwise judge, which compares candidate paintings with 4 randomly drawn reference images; three runs with different weight ratios were
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#lab #Tutorials / practice #English text is being prepared.#Open-source ecosystem
00:24
timothy_b_lee_understanding_aiSep 3 00:24
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#analysis #English text is being prepared.#Embodied AI #Google