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Zoey W

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liked a model 10 days ago
ValiantLabs/gpt-oss-20b-ShiningValiant3
reacted to sequelbox's post with 👍 10 days ago
NEW RELEASE: Shining Valiant 3 now available for openai/gpt-oss-20b! - Cutting edge science-reasoning: https://huggingface.co/datasets/sequelbox/Celestia3-DeepSeek-R1-0528 for physics, biology, chemistry, compsci, astronomy, Earth science, and information theory. - AI to build AI: the all-new https://huggingface.co/datasets/sequelbox/Mitakihara-DeepSeek-R1-0528 dataset for high-quality reasoning performance on AI, MLOps, math and CUDA, complex adaptive and agentic systems, cognition, logic, linguistics, simulation, knowledge management, and more! - Creative reasoning and general chat performance supplemented with https://huggingface.co/datasets/sequelbox/Raiden-DeepSeek-R1 Get the new SV3: https://huggingface.co/ValiantLabs/gpt-oss-20b-ShiningValiant3 This is our first release for the new https://huggingface.co/openai/gpt-oss-20b - we're hoping to support this model with more releases going forward. We're also excited to bring our models to https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507 and the other 2507 Qwen 3 models - coming very soon! We want to bring SV3, Esper 3, and our Experimental Reasoning finetunes to more models ASAP. Help us out: https://huggingface.co/spaces/sequelbox/SupportOpenSource Open source matters. Fight for it with us. love, allegra
reacted to MikeDoes's post with 🚀 19 days ago
🛡️ At Ai4Privacy, our goal is to empower researchers to build a safer AI ecosystem. Today, we're highlighting crucial research that does just that by exposing a new vulnerability. The paper "Forget to Flourish" details a new model poisoning technique. It's a reminder that as we fine-tune LLMs, our anonymization and privacy strategies must evolve to counter increasingly sophisticated threats. We're proud that the Ai4Privacy dataset was instrumental in this study. It served two key purposes: Provided a Realistic Testbed: It gave the researchers access to a diverse set of synthetic and realistic PII samples in a safe, controlled environment. Enabled Impactful Benchmarking: It allowed them to measure the actual effectiveness of their data extraction attack, proving it could compromise specific, high-value information. This work reinforces our belief that progress in AI security is a community effort. By providing robust tools for benchmarking, we can collectively identify weaknesses and build stronger, more resilient systems. A huge congratulations to the authors on this important contribution. 🔗 Read the full paper: https://arxiv.org/html/2408.17354v1 #OpenSource #DataPrivacy #LLM #Anonymization #AIsecurity #HuggingFace #Ai4Privacy #World's largest open privacy masking dataset
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