Experimental News Clipping Site

Tag: performance drops

  • Slashdot: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…

  • Hacker News: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon

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    Kurt Seifried
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    Source URL: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md Source: Hacker News Title: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive guide on using the llama.cpp portable zip to run AI models on Intel GPUs with IPEX-LLM, detailing setup requirements and configuration steps.…

  • Hacker News: All-in-one embedding model for interleaved text, images, and screenshots

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    system automation
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    Source URL: https://blog.voyageai.com/2024/11/12/voyage-multimodal-3/ Source: Hacker News Title: All-in-one embedding model for interleaved text, images, and screenshots Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces the release of voyage-multimodal-3, a cutting-edge multimodal embedding model that enhances the capability of semantic search and retrieval tasks involving both text and images. Its ability to…

  • Wired: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be

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    system automation
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    Source URL: https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/ Source: Wired Title: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be Feedly Summary: The new frontier in large language models is the ability to “reason” their way through problems. New research from Apple says it’s not quite what it’s cracked up to be. AI Summary and Description: Yes Summary: The study…

  • Hacker News: Apple study proves LLM-based AI models are flawed because they cannot reason

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    system automation
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    Source URL: https://appleinsider.com/articles/24/10/12/apples-study-proves-that-llm-based-ai-models-are-flawed-because-they-cannot-reason Source: Hacker News Title: Apple study proves LLM-based AI models are flawed because they cannot reason Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple’s research on large language models (LLMs) highlights significant shortcomings in their reasoning abilities, proposing a new benchmark called GSM-Symbolic to evaluate these skills. The findings suggest…

  • Hacker News: Understanding the Limitations of Mathematical Reasoning in Large Language Models

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    system automation
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    Source URL: https://arxiv.org/abs/2410.05229 Source: Hacker News Title: Understanding the Limitations of Mathematical Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a study on the mathematical reasoning capabilities of Large Language Models (LLMs), highlighting their limitations and introducing a new benchmark, GSM-Symbolic, for more effective evaluation. This…