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Tag: reasoning abilities

  • Hacker News: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding

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    Source URL: https://www.qodo.ai/blog/comparison-of-claude-sonnet-3-5-gpt-4o-o1-and-gemini-1-5-pro-for-coding/ Source: Hacker News Title: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text provides a comprehensive analysis of various AI models, particularly focusing on recent advancements in LLMs (Large Language Models) for coding tasks. It assesses the…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…

  • Wired: Meta’s Next Llama AI Models Are Training on a GPU Cluster ‘Bigger Than Anything’ Else

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    Source URL: https://www.wired.com/story/meta-llama-ai-gpu-training/ Source: Wired Title: Meta’s Next Llama AI Models Are Training on a GPU Cluster ‘Bigger Than Anything’ Else Feedly Summary: The race for better generative AI is also a race for more computing power. On that score, according to CEO Mark Zuckerberg, Meta appears to be winning. AI Summary and Description: Yes…

  • 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,…

  • 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…

  • 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…

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

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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…

  • Wired: OpenAI Threatens Bans as Users Probe Its ‘Strawberry’ AI Models

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    Source URL: https://arstechnica.com/information-technology/2024/09/openai-threatens-bans-for-probing-new-ai-models-reasoning-process/ Source: Wired Title: OpenAI Threatens Bans as Users Probe Its ‘Strawberry’ AI Models Feedly Summary: If you try to figure out how OpenAI’s o1 models solve problems, you might get a nastygram. AI Summary and Description: Yes Summary: The text discusses OpenAI’s latest AI model, “o1,” which is designed to show reasoning…