Guide

OpenAI recently announced a significant partnership with Condé Nast, in which the artificial intelligence company’s products, including ChatGPT and SearchGPT, will now be able to showcase content from multiple well-known publications, such as Vogue, The New Yorker, GQ, and Vanity Fair, among others. This collaboration aims to provide users with faster access to information and
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Hugging Face, known for its open-source AI platform, has recently launched a detailed tutorial to guide developers in building and training their own AI-powered robots. This initiative, following the release of the LeRobot platform in May, signifies a significant move towards bringing artificial intelligence into the physical world. Traditionally, the field of robotics has been
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A recent report by the Center for Countering Digital Hate (CCDH) has revealed that Instagram has not been successful in removing toxic comments directed at Vice President Kamala Harris and other prominent female politicians as the 2024 election approaches. The research conducted by the non-profit organization involved analyzing over 560,000 comments on Instagram posts from
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As the field of artificial intelligence continues to advance, the risks associated with its use also increase. To address these risks, researchers from MIT and other institutions have developed the AI Risk Repository. This database contains over 700 documented risks posed by AI systems, providing decision-makers in government, research, and industry with valuable insights on
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The introduction of ToolSandbox by researchers at Apple marks a significant advancement in the assessment of AI assistants. This new benchmark goes beyond traditional evaluation methods for large language models by incorporating stateful interactions, conversational abilities, and dynamic evaluation. Lead author Jiarui Lu highlights the importance of these elements in providing a more comprehensive evaluation
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Quantum computing has the potential to revolutionize information processing, including machine learning and optimization. However, the deployment of quantum computers on a large scale is hindered by their sensitivity to noise, leading to errors in computations. Quantum error correction is one proposed solution to mitigate these errors, but it comes with challenges. Another approach, quantum
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