Experimental News Clipping Site

Tag: reasoning tasks

  • Hacker News: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.12948 Source: Hacker News Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of new language models, DeepSeek-R1 and DeepSeek-R1-Zero, developed to enhance reasoning capabilities in large language models (LLMs) through reinforcement learning. This research represents a significant advancement…

  • Schneier on Security: AI Will Write Complex Laws

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-will-write-complex-laws.html Source: Schneier on Security Title: AI Will Write Complex Laws Feedly Summary: Artificial intelligence (AI) is writing law today. This has required no changes in legislative procedure or the rules of legislative bodies—all it takes is one legislator, or legislative assistant, to use generative AI in the process of drafting a bill.…

  • Hacker News: Kimi K1.5: Scaling Reinforcement Learning with LLMs

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    Kurt Seifried
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    Source URL: https://github.com/MoonshotAI/Kimi-k1.5 Source: Hacker News Title: Kimi K1.5: Scaling Reinforcement Learning with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Kimi k1.5, a new multi-modal language model that employs reinforcement learning (RL) techniques to significantly enhance AI performance, particularly in reasoning tasks. With advancements in context scaling and policy…

  • Hacker News: Official DeepSeek R1 Now on Ollama

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    Kurt Seifried
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    Source URL: https://ollama.com/library/deepseek-r1 Source: Hacker News Title: Official DeepSeek R1 Now on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an overview of DeepSeek’s first-generation reasoning models that exhibit performance comparable to OpenAI’s offerings across math, code, and reasoning tasks. This information is highly relevant for practitioners in AI and…

  • Simon Willison’s Weblog: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/20/deepseek-r1/ Source: Simon Willison’s Weblog Title: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B Feedly Summary: DeepSeek are the Chinese AI lab who dropped the best currently available open weights LLM on Christmas day, DeepSeek v3. That model was trained in part using their unreleased R1 “reasoning" model. Today they’ve released R1 itself, along with a whole…

  • Hacker News: DeepSeek-R1

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    Kurt Seifried
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    Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…

  • Hacker News: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought?

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    system automation
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    Source URL: https://aipapersacademy.com/chain-of-continuous-thought/ Source: Hacker News Title: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought? Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents an innovative approach to enhancing reasoning capabilities in large language models (LLMs) through a method called Chain of Continuous Thought (COCONUT). It highlights…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    system automation
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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: Exploring Microsoft’s Phi-3-Mini and its integration with tool like Ollama

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    system automation
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    Source URL: https://pieces.app/blog/phi-3-mini-integrations Source: Hacker News Title: Exploring Microsoft’s Phi-3-Mini and its integration with tool like Ollama Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Microsoft’s Phi-3-mini, a highly efficient small language model that excels in coding and reasoning tasks, making it suitable for developers working in resource-constrained environments. It highlights…

  • Hacker News: Offline Reinforcement Learning for LLM Multi-Step Reasoning

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    system automation
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    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…