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Tag: mathematical reasoning

  • AWS News Blog: OpenAI open weight models now available on AWS

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/openai-open-weight-models-now-available-on-aws/ Source: AWS News Blog Title: OpenAI open weight models now available on AWS Feedly Summary: AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives…

  • Simon Willison’s Weblog: Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/21/gemini-imo/#atom-everything Source: Simon Willison’s Weblog Title: Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad Feedly Summary: Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad OpenAI beat them to the punch in terms of publicity by publishing their…

  • Simon Willison’s Weblog: Qwen2.5-VL-32B: Smarter and Lighter

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/24/qwen25-vl-32b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen2.5-VL-32B: Smarter and Lighter Feedly Summary: Qwen2.5-VL-32B: Smarter and Lighter The second big open weight LLM release from China today – the first being DeepSeek v3-0324. Qwen’s previous vision model was Qwen2.5 VL, released in January in 3B, 7B and 72B sizes. Today’s release is a 32B…

  • Hacker News: Qwen2.5-VL-32B: Smarter and Lighter

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    Kurt Seifried
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    Source URL: https://qwenlm.github.io/blog/qwen2.5-vl-32b/ Source: Hacker News Title: Qwen2.5-VL-32B: Smarter and Lighter Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the Qwen2.5-VL-32B model, an advanced AI model focusing on improved human-aligned responses, mathematical reasoning, and visual understanding. Its performance has been benchmarked against leading models, showcasing significant advancements in multimodal tasks. This…

  • Hacker News: Understanding R1-Zero-Like Training: A Critical Perspective

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    Kurt Seifried
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    Source URL: https://github.com/sail-sg/understand-r1-zero Source: Hacker News Title: Understanding R1-Zero-Like Training: A Critical Perspective Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach to LLM training called R1-Zero-like training, emphasizing a new reinforcement learning method termed Dr. GRPO that enhances reasoning capabilities. It highlights significant improvements in model performance through…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • Hacker News: LIMO: Less Is More for Reasoning

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.03387 Source: Hacker News Title: LIMO: Less Is More for Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “LIMO: Less is More for Reasoning” presents groundbreaking insights into how complex reasoning can be achieved with fewer training examples in large language models. This challenges traditional beliefs about data…

  • Hacker News: Pre-Trained Large Language Models Use Fourier Features to Compute Addition

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2406.03445 Source: Hacker News Title: Pre-Trained Large Language Models Use Fourier Features to Compute Addition Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The paper discusses how pre-trained large language models (LLMs) utilize Fourier features to enhance their arithmetic capabilities, specifically focusing on addition. It provides insights into the mechanisms that…