Experimental News Clipping Site

Tag: language processing

  • Hacker News: Multi-head latent attention (DeepSeek) and other KV cache tricks explained

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    Kurt Seifried
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    Source URL: https://www.pyspur.dev/blog/multi-head-latent-attention-kv-cache-paper-list Source: Hacker News Title: Multi-head latent attention (DeepSeek) and other KV cache tricks explained Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advanced techniques in Key-Value (KV) caching that enhance the efficiency of language models like ChatGPT during text generation. It highlights how these optimizations can significantly reduce…

  • Simon Willison’s Weblog: Quoting Jack Clark

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: DeepSeek Janus-Pro

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-janus-pro/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek Janus-Pro Feedly Summary: DeepSeek Janus-Pro Another impressive model release from DeepSeek. Janus is their series of “unified multimodal understanding and generation models" – these are models that can both accept images as input and generate images for output. Janus-Pro is a new 7B model accompanied by…

  • CSA: How to Defend Against DGA-Based Attacks

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    Kurt Seifried
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    Source URL: https://www.zscaler.com/cxorevolutionaries/insights/understanding-domain-generation-algorithms-dgas Source: CSA Title: How to Defend Against DGA-Based Attacks Feedly Summary: AI Summary and Description: Yes **Summary**: This text provides an in-depth exploration of Domain Generation Algorithms (DGAs), a sophisticated method utilized by malware developers for communication with command and control (C2) servers. It highlights the challenges they pose for detection and…

  • 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…

  • Cisco Talos Blog: Seasoning email threats with hidden text salting

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/seasoning-email-threats-with-hidden-text-salting/ Source: Cisco Talos Blog Title: Seasoning email threats with hidden text salting Feedly Summary: Hidden text salting is a simple yet effective technique for bypassing email parsers, confusing spam filters, and evading detection engines that rely on keywords. Cisco Talos observed an increase in the number of email threats leveraging hidden text…

  • Hacker News: Tensor Product Attention Is All You Need

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    Kurt Seifried
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    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: Cosine Similarity Isn’t the Silver Bullet We Thought It Was

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    Kurt Seifried
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    Source URL: https://www.shaped.ai/blog/cosine-similarity-not-the-silver-bullet-we-thought-it-was Source: Hacker News Title: Cosine Similarity Isn’t the Silver Bullet We Thought It Was Feedly Summary: Comments AI Summary and Description: Yes Summary: The study from Netflix and Cornell University critically examines the use of cosine similarity in measuring the similarity of embeddings, revealing potential flaws and arbitrary results that could mislead…

  • Hacker News: 400x faster embeddings models using static embeddings

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/static-embeddings Source: Hacker News Title: 400x faster embeddings models using static embeddings Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This blog post discusses a new method to train static embedding models significantly faster than existing state-of-the-art models. These models are suited for various applications, including on-device and in-browser execution, and edge…

  • Slashdot: OpenAI’s AI Reasoning Model ‘Thinks’ In Chinese Sometimes, No One Really Knows Why

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/14/239246/openais-ai-reasoning-model-thinks-in-chinese-sometimes-no-one-really-knows-why?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s AI Reasoning Model ‘Thinks’ In Chinese Sometimes, No One Really Knows Why Feedly Summary: AI Summary and Description: Yes Summary: The behavior exhibited by OpenAI’s reasoning AI model, o1, which seemingly “thinks” in multiple languages regardless of the input language, has raised questions within the AI community. Experts…