Tag: mathematical reasoning
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Simon Willison’s Weblog: Qwen2.5-VL-32B: Smarter and Lighter
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…
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Hacker News: Qwen2.5-VL-32B: Smarter and Lighter
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…
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Hacker News: Understanding R1-Zero-Like Training: A Critical Perspective
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…
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Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning
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…
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Hacker News: LIMO: Less Is More for Reasoning
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…
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Hacker News: Show HN: DeepSeek v3 – A 671B parameter AI Language Model
Source URL: https://deepseekv3.org/ Source: Hacker News Title: Show HN: DeepSeek v3 – A 671B parameter AI Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the capabilities of DeepSeek v3, highlighting its advanced architecture and proficiency in various tasks such as text generation and code completion, which are particularly relevant…
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Hacker News: Why are we using LLMs as calculators?
Source URL: https://vickiboykis.com/2024/11/09/why-are-we-using-llms-as-calculators/ Source: Hacker News Title: Why are we using LLMs as calculators? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and motivations behind using large language models (LLMs) for mathematical reasoning and calculations. It highlights the historical context of computing and the evolution of tasks from simple…
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Hacker News: Can AI do maths yet? Thoughts from a mathematician
Source URL: https://xenaproject.wordpress.com/2024/12/22/can-ai-do-maths-yet-thoughts-from-a-mathematician/ Source: Hacker News Title: Can AI do maths yet? Thoughts from a mathematician Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the recent performance of OpenAI’s new language model, o3, on a challenging mathematics dataset called FrontierMath. It highlights the ongoing progression of AI in…
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Hacker News: Offline Reinforcement Learning for LLM Multi-Step Reasoning
Source URL: https://arxiv.org/abs/2412.16145 Source: Hacker News Title: Offline Reinforcement Learning for LLM Multi-Step Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a novel offline reinforcement learning method, OREO, aimed at improving the multi-step reasoning abilities of large language models (LLMs). This has significant implications in AI security…