Experimental News Clipping Site

Tag: training methodologies

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

    —

    by

    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,…

  • The Register: DeepSeek means companies need to consider AI investment more carefully

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/31/deepseek_implications/ Source: The Register Title: DeepSeek means companies need to consider AI investment more carefully Feedly Summary: But Chinese startup shakeup doesn’t herald ‘drastic drop’ in need for infrastructure buildout, say analysts Analysis The shockwave following the release of competitive AI models from Chinese startup DeepSeek has led many to question the assumption…

  • Hacker News: DeepSeek proves the future of LLMs is open-source

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.getlago.com/blog/deepseek-open-source Source: Hacker News Title: DeepSeek proves the future of LLMs is open-source Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek, a Chinese AI lab that has developed an open-source reasoning model, R1, which competes with high-profile models like OpenAI’s o1. It highlights the unique position of DeepSeek…

  • Hacker News: DeepSeek’s AI breakthrough bypasses industry-standard CUDA, uses PTX

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseeks-ai-breakthrough-bypasses-industry-standard-cuda-uses-assembly-like-ptx-programming-instead Source: Hacker News Title: DeepSeek’s AI breakthrough bypasses industry-standard CUDA, uses PTX Feedly Summary: Comments AI Summary and Description: Yes Summary: DeepSeek’s recent achievement in training a massive language model using 671 billion parameters has garnered significant attention due to its innovative optimizations and the use of Nvidia’s PTX programming. This breakthrough…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    —

    by

    Kurt Seifried
    in

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…

  • Hacker News: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model

    —

    by

    Kurt Seifried
    in

    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…

  • Hacker News: The Illustrated DeepSeek-R1

    —

    by

    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: How DeepSeek-R1 Was Built, for Dummies

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Source: Hacker News Title: How DeepSeek-R1 Was Built, for Dummies Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek’s innovative approach to training reasoning models through pure reinforcement learning (RL) without labeled data. This breakthrough could significantly impact the development of AI, particularly in the realm of large…

  • Hacker News: The impact of competition and DeepSeek on Nvidia

    —

    by

    Kurt Seifried
    in

    Source URL: https://youtubetranscriptoptimizer.com/blog/05_the_short_case_for_nvda Source: Hacker News Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a comprehensive assessment of the current state and future outlook of Nvidia in the AI hardware market, emphasizing their significant market position and potential vulnerabilities from emerging competition…

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

    —

    by

    Kurt Seifried
    in

    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…