Experimental News Clipping Site

Tag: large language model

  • Hacker News: Use Prolog to improve LLM’s reasoning

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    Source URL: https://shchegrikovich.substack.com/p/use-prolog-to-improve-llms-reasoning Source: Hacker News Title: Use Prolog to improve LLM’s reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the limitations of Large Language Models (LLMs) in reasoning tasks and introduces innovative methods to enhance their performance using Prolog as an intermediate programming language. These advancements leverage neurosymbolic approaches…

  • The Register: Infrastructure giant Schneider Electric powers up with $850M liquid cooling deal

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    Source URL: https://www.theregister.com/2024/10/17/schneider_850m_stake_motivair/ Source: The Register Title: Infrastructure giant Schneider Electric powers up with $850M liquid cooling deal Feedly Summary: Snags controlling stake in Motivair Corporation, rest to come by 2028 Schneider Electric is taking a controlling interest in Motivair Corporation, a specialist in liquid cooling and thermal management tech for high-performance computing (HPC) systems.……

  • Wired: This Prompt Can Make an AI Chatbot Identify and Extract Personal Details From Your Chats

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    Source URL: https://www.wired.com/story/ai-imprompter-malware-llm/ Source: Wired Title: This Prompt Can Make an AI Chatbot Identify and Extract Personal Details From Your Chats Feedly Summary: Security researchers created an algorithm that turns a malicious prompt into a set of hidden instructions that could send a user’s personal information to an attacker. AI Summary and Description: Yes Summary:…

  • Hacker News: Foyle: You build it, AI should run it

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    Source URL: https://future.mozilla.org/builders/news_insights/foyle-you-build-it-ai-should-run-it/ Source: Hacker News Title: Foyle: You build it, AI should run it Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Foyle, an AI tool designed to assist developers in operating and managing infrastructure by translating their intents into actionable commands through the use of LLMs (Large Language Models).…

  • Hacker News: Ichigo: Local real-time voice AI

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    Source URL: https://github.com/homebrewltd/ichigo Source: Hacker News Title: Ichigo: Local real-time voice AI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of the open research project 🍓 Ichigo, which enhances a text-based large language model (LLM) with native listening capabilities through improved audio processing techniques. It highlights advancements in the…

  • Hacker News: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

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    Source URL: https://nvlabs.github.io/Sana/ Source: Hacker News Title: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text introduces Sana, a novel text-to-image framework that enables the rapid generation of high-quality images while focusing on efficiency and performance. The innovations within Sana, including deep compression autoencoders…

  • Simon Willison’s Weblog: Un Ministral, des Ministraux

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    Source URL: https://simonwillison.net/2024/Oct/16/un-ministral-des-ministraux/ Source: Simon Willison’s Weblog Title: Un Ministral, des Ministraux Feedly Summary: Un Ministral, des Ministraux Two new models from Mistral: Ministral 3B and Ministral 8B (joining Mixtral, Pixtral, Codestral and Mathstral as weird naming variants on the Mistral theme. These models set a new frontier in knowledge, commonsense, reasoning, function-calling, and efficiency…

  • Simon Willison’s Weblog: Quoting François Chollet

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    Source URL: https://simonwillison.net/2024/Oct/16/francois-chollet/ Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: A common misconception about Transformers is to believe that they’re a sequence-processing architecture. They’re not. They’re a set-processing architecture. Transformers are 100% order-agnostic (which was the big innovation compared to RNNs, back in late 2016 — you compute the full matrix of…

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

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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…

  • Slashdot: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities

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    Source URL: https://apple.slashdot.org/story/24/10/15/1840242/apple-study-reveals-critical-flaws-in-ais-logical-reasoning-abilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities Feedly Summary: AI Summary and Description: Yes Summary: Apple’s AI research team identifies critical weaknesses in large language models’ reasoning capabilities, highlighting issues with logical consistency and performance variability due to question phrasing. This research underlines the potential reliability…