Experimental News Clipping Site

Tag: reasoning capabilities

  • Hacker News: LIMO: Less Is More for Reasoning

    —

    by

    Kurt Seifried
    in

    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: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon

    —

    by

    Kurt Seifried
    in

    Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…

  • Hacker News: Understanding Reasoning LLMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Source: Hacker News Title: Understanding Reasoning LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores advancements in reasoning models associated with large language models (LLMs), focusing particularly on the development of DeepSeek’s reasoning model and various approaches to enhance LLM capabilities through structured training methodologies. This examination is…

  • Hacker News: R1 Computer Use

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/agentsea/r1-computer-use Source: Hacker News Title: R1 Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project named “R1-Computer-Use,” which leverages reinforcement learning techniques for improved computer interaction. This novel approach replaces traditional verification methods with a neural reward model, enhancing the reasoning capabilities of agents in diverse…

  • Slashdot: Researchers Created an Open Rival To OpenAI’s o1 ‘Reasoning’ Model for Under $50

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/02/06/1445231/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Created an Open Rival To OpenAI’s o1 ‘Reasoning’ Model for Under $50 Feedly Summary: AI Summary and Description: Yes Summary: The research collaboration between Stanford and the University of Washington is notable for developing an AI reasoning model called s1 for less than $50 in cloud compute credits.…

  • Hacker News: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50

    —

    by

    Kurt Seifried
    in

    Source URL: https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/ Source: Hacker News Title: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a new AI reasoning model developed by researchers at Stanford and the University of Washington, named s1, which performs comparably to advanced models…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Hacker News: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.01142 Source: Hacker News Title: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel framework called DeepRAG, designed to improve the reasoning capabilities of Large Language Models (LLMs) by enhancing the retrieval-augmented generation process. This is particularly…

  • Slashdot: OpenAI Holds Surprise Livestream to Announce Multi-Step ‘Deep Research’ Capability

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/02/02/2342245/openai-makes-surprise-livestream-today-for-deep-research-announcement Source: Slashdot Title: OpenAI Holds Surprise Livestream to Announce Multi-Step ‘Deep Research’ Capability Feedly Summary: AI Summary and Description: Yes Summary: OpenAI has announced a new capability called “Deep Research,” aimed at enhancing its models with multi-step reasoning abilities. This development may significantly transform knowledge work by enabling AI to autonomously navigate…