Tag: reinforcement
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Hacker News: An Analysis of DeepSeek’s R1-Zero and R1
Source URL: https://arcprize.org/blog/r1-zero-r1-results-analysis Source: Hacker News Title: An Analysis of DeepSeek’s R1-Zero and R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implications and potential of the R1-Zero and R1 systems from DeepSeek in the context of AI advancements, particularly focusing on their competitive performance against existing LLMs like OpenAI’s…
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The Register: AI revoir, Lucie: France’s answer to ChatGPT paused after faux pas overdrive
Source URL: https://www.theregister.com/2025/01/29/french_ai_chatbot_lucie_suspended/ Source: The Register Title: AI revoir, Lucie: France’s answer to ChatGPT paused after faux pas overdrive Feedly Summary: Slew of embarrassing answers sends open source chatterbox back for more schooling As China demonstrates how competitive open source AI models can be via the latest DeepSeek release, France has shown the opposite.… AI…
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Hacker News: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model
Source URL: https://qwenlm.github.io/blog/qwen2.5-max/ Source: Hacker News Title: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development and performance evaluation of Qwen2.5-Max, a large-scale Mixture-of-Expert (MoE) model pretrained on over 20 trillion tokens. It highlights significant advancements in model intelligence achieved through scaling…
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Hacker News: Open-R1: an open reproduction of DeepSeek-R1
Source URL: https://huggingface.co/blog/open-r1 Source: Hacker News Title: Open-R1: an open reproduction of DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek-R1, a language model that significantly enhances reasoning capabilities through advanced training techniques, including reinforcement learning. The Open-R1 project aims to replicate and build upon DeepSeek-R1’s methodologies…
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Simon Willison’s Weblog: Quoting Jack Clark
Source URL: https://simonwillison.net/2025/Jan/28/jack-clark-r1/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The most surprising part of DeepSeek-R1 is that it only takes ~800k samples of ‘good’ RL reasoning to convert other models into RL-reasoners. Now that DeepSeek-R1 is available people will be able to refine samples out of it to convert any other…