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  • LLM Tools from Google Labs – Data Science Agent and Code Transformation

    calendar Sep 23, 2024  ·
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    /code in Google Labs contains various code experiments, such as Data Science Agent and Code Transformation.
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  • Quantized neural network for complex hologram generation

    calendar Sep 23, 2024  ·
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    Computer-generated holography (CGH) is a promising technology for augmented reality displays, such as head-mounted or head-up displays. However, its high computational demand makes it impractical for implementation. Recent efforts to integrate neural networks into CGH have successfully accelerated computing speed, …
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  • When you call a restaurant, you might be chatting with an AI host

    calendar Sep 22, 2024  ·
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    Article URL: https://www.wired.com/story/restaurant-ai-hosts/

    Comments URL: https://news.ycombinator.com/item?id=41620720

    Points: 1

    # Comments: 3


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  • The Plummeting Cost of Artificial Intelligence

    calendar Sep 22, 2024  ·
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    On smaller models, on-device inference and the path to zero cost intelligence
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  • Put ChatGPT on a TI-84 Graphing Calculator

    calendar Sep 22, 2024  ·
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    Tiny device installed inside TI-84 enables Wi-Fi Internet, access to AI chatbot.
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  • LLM Workflows

    calendar Sep 22, 2024  ·
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    I’ve been waiting to write about LLMs because I’ve had very little to say about LLM’s that isn’t been obvious.
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  • InstaDeep became Africa's biggest AI startup success,acquired by BioNTech

    calendar Sep 22, 2024  ·
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    Karim Beguir is the co-founder and CEO of InstaDeep, a Tunisian startup that was acquired for $682 million by BioNTech.
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  • A card-playing Siberian AI outsmarted the world's brightest researchers

    calendar Sep 22, 2024  ·
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    null
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  • 3D Doom game improved graphics made by AI

    calendar Sep 22, 2024  ·
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    Shoot 'em up
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  • Iteration of Thought: Leveraging Inner Dialogue for Autonomous LLM Reasoning

    calendar Sep 22, 2024  ·
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    Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a conversational manner, human users can effectively influence an LLM to develop more thoughtful and accurate responses. Motivated by this …
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