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Tag: logical reasoning

  • Simon Willison’s Weblog: Quoting Andriy Burkov

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…

  • Hacker News: Evaluating modular RAG with reasoning models

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    Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…

  • Hacker News: Chatbot Software Begins to Face Fundamental Limitations

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    Source URL: https://www.quantamagazine.org/chatbot-software-begins-to-face-fundamental-limitations-20250131/ Source: Hacker News Title: Chatbot Software Begins to Face Fundamental Limitations Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text details recent findings on the limitations of large language models (LLMs) in performing compositional reasoning tasks, highlighting inherent restrictions in their architecture that prevent them from effectively solving complex multi-step…

  • Hacker News: Notes on the New Deepseek v3

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    Source URL: https://composio.dev/blog/notes-on-new-deepseek-v3/ Source: Hacker News Title: Notes on the New Deepseek v3 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of Deepseek’s v3 model, a 607B mixture-of-experts model that showcases exceptional performance, surpassing both open-source and proprietary competitors at a significantly lower training cost. It highlights the engineering…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…

  • Hacker News: Why are we using LLMs as calculators?

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    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…

  • Wired: OpenAI Upgrades Its Smartest AI Model With Improved Reasoning Skills

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    Source URL: https://www.wired.com/story/openai-o3-reasoning-model-google-gemini/ Source: Wired Title: OpenAI Upgrades Its Smartest AI Model With Improved Reasoning Skills Feedly Summary: A day after Google announced its first model capable of reasoning over problems, OpenAI has upped the stakes with an improved version of its own. AI Summary and Description: Yes Summary: OpenAI has launched its new AI…

  • Cloud Blog: Tailor your search engine with AI-powered hybrid search in Spanner

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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/hybrid-search-in-spanner-combine-full-text-and-vector-search/ Source: Cloud Blog Title: Tailor your search engine with AI-powered hybrid search in Spanner Feedly Summary: Search is at the heart of how we interact with the digital ecosystem, from online shopping to finding critical information. Enter generative AI, and user expectations are higher than ever. For applications to meet diverse user…

  • Hacker News: Training LLMs to Reason in a Continuous Latent Space

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    Source URL: https://arxiv.org/abs/2412.06769 Source: Hacker News Title: Training LLMs to Reason in a Continuous Latent Space Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel approach for enhancing reasoning capabilities in large language models (LLMs) through a technique called Coconut, which utilizes a continuous latent space for reasoning rather than…