Experimental News Clipping Site

Tag: model performance

  • Slashdot: Nvidia Dismisses China AI Threat, Says DeepSeek Still Needs Its Chips

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/01/27/1935207/nvidia-dismisses-china-ai-threat-says-deepseek-still-needs-its-chips?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Dismisses China AI Threat, Says DeepSeek Still Needs Its Chips Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Nvidia’s response to concerns raised by the emergence of the Chinese AI startup DeepSeek and its potential implications for the global AI landscape. Nvidia emphasizes the continued…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…

  • 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: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Hacker News: Lessons from building a small-scale AI application

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…

  • Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…

  • Simon Willison’s Weblog: llm-gemini 0.9

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/llm-gemini/ Source: Simon Willison’s Weblog Title: llm-gemini 0.9 Feedly Summary: llm-gemini 0.9 This new release of my llm-gemini plugin adds support for two new experimental models: learnlm-1.5-pro-experimental is “an experimental task-specific model that has been trained to align with learning science principles when following system instructions for teaching and learning use cases" –…

  • Hacker News: Tensor Product Attention Is All You Need

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.06425 Source: Hacker News Title: Tensor Product Attention Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel attention mechanism called Tensor Product Attention (TPA) designed for scaling language models efficiently. It highlights the mechanism’s ability to reduce memory overhead during inference while improving model…

  • Hacker News: AI Engineer Reading List

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: Contemplative LLMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://maharshi.bearblog.dev/contemplative-llms-prompt/ Source: Hacker News Title: Contemplative LLMs Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the novel approach of prompting Large Language Models (LLMs) to engage in a contemplation phase before generating answers. By mimicking a reasoning process, which encourages exploration and questioning assumptions, this method…