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Tag: internal representation

  • Slashdot: Generative AI Doesn’t Have a Coherent Understanding of the World, MIT Researchers Find

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    Source URL: https://slashdot.org/story/24/11/10/1911204/generative-ai-doesnt-have-a-coherent-understanding-of-the-world-mit-researchers-find Source: Slashdot Title: Generative AI Doesn’t Have a Coherent Understanding of the World, MIT Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study from MIT revealing that while generative AI, particularly large language models (LLMs), exhibit impressive capabilities, they fundamentally lack a coherent understanding of the…

  • Hacker News: Internal representations of LLMs encode information about truthfulness

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    Source URL: https://arxiv.org/abs/2410.02707 Source: Hacker News Title: Internal representations of LLMs encode information about truthfulness Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the issue of hallucinations in large language models (LLMs), revealing that these models possess internal representations that can provide valuable insights into the truthfulness of their outputs. This…

  • Hacker News: 20x faster convergence for diffusion models

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    Source URL: https://sihyun.me/REPA/ Source: Hacker News Title: 20x faster convergence for diffusion models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel technique, REPresentation Alignment (REPA), which enhances the performance of generative diffusion models by improving internal representation alignment with self-supervised visual representations. This method significantly increases training efficiency and…

  • Hacker News: The True Nature of LLMs

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    Source URL: https://opengpa.ghost.io/the-true-nature-of-llms-2/ Source: Hacker News Title: The True Nature of LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the advanced reasoning capabilities of Large Language Models (LLMs), challenging the notion that they merely act as “stochastic parrots.” It emphasizes the ability of LLMs to simulate human-like reasoning and outlines…