Experimental News Clipping Site

Tag: kernels

  • METR Blog – METR: An update on our general capability evaluations

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    Source URL: https://metr.org/blog/2024-08-06-update-on-evaluations/ Source: METR Blog – METR Title: An update on our general capability evaluations Feedly Summary: AI Summary and Description: Yes **Summary:** The provided text discusses the development of evaluation metrics for AI capabilities, particularly focusing on autonomous systems. It aims to create measures that can assess general autonomy rather than solely relying…

  • Cloud Blog: How Shopify improved consumer search intent with real-time ML

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    Source URL: https://cloud.google.com/blog/products/data-analytics/how-shopify-improved-consumer-search-intent-with-real-time-ml/ Source: Cloud Blog Title: How Shopify improved consumer search intent with real-time ML Feedly Summary: In the dynamic landscape of commerce, Shopify merchants rely on our platform’s ability to seamlessly and reliably deliver highly relevant products to potential customers. Therefore, a rich and intuitive search experience is an essential part of our…

  • Hacker News: Io_uring and seccomp (2022)

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    Source URL: https://blog.0x74696d.com/posts/iouring-and-seccomp/ Source: Hacker News Title: Io_uring and seccomp (2022) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the Linux `io_uring` interface for asynchronous I/O and its interaction with seccomp filtering, highlighting both performance benefits and potential security implications for applications relying on syscalls. This insight is particularly relevant for…

  • Hacker News: Liger-kernel: Efficient triton kernels for LLM training

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    Source URL: https://github.com/linkedin/Liger-Kernel Source: Hacker News Title: Liger-kernel: Efficient triton kernels for LLM training Feedly Summary: Comments AI Summary and Description: Yes Summary: The Liger Kernel is a specialized Triton kernel collection aimed at enhancing LLM (Large Language Model) training efficiency by significantly improving throughput and reducing memory usage. It is particularly relevant for AI…