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Tag: training methodology

  • Security Info Watch: Huntress launches Threat Simulator to educate users—from the hacker’s perspective

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    Kurt Seifried
    in

    Source URL: https://www.securityinfowatch.com/cybersecurity/press-release/55296212/huntress-huntress-launches-threat-simulator-to-educate-usersfrom-the-hackers-perspective Source: Security Info Watch Title: Huntress launches Threat Simulator to educate users—from the hacker’s perspective Feedly Summary: Huntress launches Threat Simulator to educate users—from the hacker’s perspective AI Summary and Description: Yes Summary: Huntress has launched Threat Simulator, an interactive training tool designed to enhance security awareness by simulating real-world hacker tactics.…

  • OpenAI : Addendum to o3 and o4-mini system card: Codex

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/o3-o4-mini-codex-system-card-addendum Source: OpenAI Title: Addendum to o3 and o4-mini system card: Codex Feedly Summary: Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. codex-1 was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    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…

  • Hacker News: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs

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    Kurt Seifried
    in

    Source URL: https://www.interconnects.ai/p/deepseek-r1-recipe-for-o1 Source: Hacker News Title: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the recent developments and insights regarding the training of reasoning language models (RLMs), particularly focusing on the release of DeepSeek AI’s flagship reasoning model,…

  • Hacker News: Mini-R1: Reproduce DeepSeek R1 "Aha Moment"

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    Kurt Seifried
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    Source URL: https://www.philschmid.de/mini-deepseek-r1 Source: Hacker News Title: Mini-R1: Reproduce DeepSeek R1 "Aha Moment" Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek R1, an open model for complex reasoning tasks that utilizes reinforcement learning algorithms, specifically Group Relative Policy Optimization (GRPO). It offers insight into the model’s training…

  • Hacker News: The Illustrated DeepSeek-R1

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    Kurt Seifried
    in

    Source URL: https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1 Source: Hacker News Title: The Illustrated DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of DeepSeek-R1, an advanced model in the machine learning and AI domain, highlighting its novel training approach, especially in reasoning tasks. This model presents significant insights into the evolving capabilities of…

  • Hacker News: A Replacement for Bert

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    system automation
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    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

  • Simon Willison’s Weblog: Phi-4 Technical Report

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/15/phi-4-technical-report/ Source: Simon Willison’s Weblog Title: Phi-4 Technical Report Feedly Summary: Phi-4 Technical Report Phi-4 is the latest LLM from Microsoft Research. It has 14B parameters and claims to be a big leap forward in the overall Phi series. From Introducing Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning: Phi-4 outperforms…

  • Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition

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    system automation
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    Source URL: https://arxiv.org/abs/2409.08107 Source: Hacker News Title: WhisperNER: Unified Open Named Entity and Speech Recognition Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces WhisperNER, a novel model that integrates named entity recognition (NER) with automatic speech recognition (ASR) to enhance transcription accuracy and informativeness. This integration is particularly relevant for AI…