AI tools for xhsplus
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XHSPlus
XHSPlus is the ultimate tool to enhance the experience of using Xiaohongshu (Little Red Book) from the browser. It transforms the Xiaohongshu website version into an app interface, bringing the mobile experience directly to the computer screen. Users can enjoy the same operations and interface as on mobile devices on a larger screen, making browsing and engaging with content more convenient. XHSPlus enriches your Xiaohongshu experience by providing features such as high-definition watermark-free material downloads, a diverse library of Xiaohongshu emojis and emoticons, generating popular titles using extensive data, efficient management of tags and common phrases, and detection of violations and sensitive words. It also offers insights into recent popular topics on Xiaohongshu, personalized recommendations, and tools to enhance content quality and exposure. XHSPlus aims to simplify the creative process, optimize interactive experiences, and help Xiaohongshu users increase engagement.
llmc
llmc is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. It provides users with the ability to quantize LLMs, choose from various compression algorithms, export transformed models for further optimization, and directly infer compressed models with a shallow memory footprint. The tool supports a range of model types and quantization algorithms, with ongoing development to include pruning techniques. Users can design their configurations for quantization and evaluation, with documentation and examples planned for future updates. llmc is a valuable resource for researchers working on post-training quantization of large language models.