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Tag: reasoning capabilities

  • Cloud Blog: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI

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    Source URL: https://cloud.google.com/blog/topics/partners/benefits-of-arize-ai-in-tandem-with-vertex-ai-api-for-gemini/ Source: Cloud Blog Title: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI Feedly Summary: In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability…

  • Hacker News: Detecting when LLMs are uncertain

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    Source URL: https://www.thariq.io/blog/entropix/ Source: Hacker News Title: Detecting when LLMs are uncertain Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses new reasoning techniques introduced by the project Entropix, aimed at improving decision-making in large language models (LLMs) through adaptive sampling methods in the face of uncertainty. While evaluations are still pending,…

  • 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…

  • 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…

  • 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…

  • Hacker News: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems

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    Source URL: https://www.qodo.ai/blog/system-2-thinking-alphacodium-outperforms-direct-prompting-of-openai-o1/ Source: Hacker News Title: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses OpenAI’s new o1 model and introduces AlphaCodium, a novel tool designed to enhance code generation performance by integrating a structured, iterative approach. It…

  • Slashdot: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason

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    Source URL: https://apple.slashdot.org/story/24/10/13/2145256/study-done-by-apple-ai-scientists-proves-llms-have-no-ability-to-reason?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason Feedly Summary: AI Summary and Description: Yes Summary: A recent study by Apple’s AI scientists reveals significant weaknesses in the reasoning capabilities of large language models (LLMs), such as those developed by OpenAI and Meta. The…

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

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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…