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Hugging Face 1 year ago 19
The Open R1 project released OpenR1-Math-220k, a dataset of 220,000 mathematical reasoning problems with verified solutions generated using DeepSeek R1 on 512 H100 GPUs. The dataset achieved 90.6% on MATH-500 and 36.7% on AIME 2024 when used to fine-tune Qwen-7B, matching performance of DeepSeek's official distilled model. The open-source pipeline enables the community to scale reasoning data generation beyond mathematics to other domains like code.
OpenAI 1 year ago 30
OpenAI has partnered with Schibsted Media Group to add Guardian news content and archives to ChatGPT. The agreement grants ChatGPT users access to current Guardian articles and historical archive material through the platform. Schibsted Media Group will receive compensation for the licensed content, and Guardian readers will see attribution and links back to original articles.
Hugging Face 1 year ago 2
The Open Arabic LLM Leaderboard released a second version in December 2024, replacing machine-translated and saturated benchmarks with natively developed Arabic tasks and newly available datasets. The updated leaderboard added Native Arabic MMLU (40 tasks with 15,000 questions), Human Translated MMLU (57 tasks), MedinaQA, AraTrust (522 questions on safety), and ALRAGE, while retaining 6 AlGhafa tasks and 2 Belebele tasks from the first version. The revised benchmarks aim to better capture Arabic's morphological complexity and cultural context, addressing community feedback that prior datasets failed to reflect real-world Arabic use cases and dialect diversity.
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TLDRocket
8 August 2026
Mistral AI's release of Shieldstral 1.0 3B marks a practical inflection point in content moderation: safety classifiers are shedding their fixed rulebooks. The 3B model takes policies as plain-language prompts at inference time—meaning a single deployment can enforce different standards for different customers without retraining—while matching the performance of a 20B baseline on both text and multimodal content. It runs on a single 16GB GPU and ships under Apache 2.0, making it available for local deployment across vLLM and llama.cpp. For teams managing multiple content policies or operating across jurisdictions, this matters because moderation no longer requires separate model forks or constant retraining cycles.
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