{"id":44556,"date":"2023-08-18T16:21:07","date_gmt":"2023-08-18T08:21:07","guid":{"rendered":"https:\/\/swarma.org\/?p=44556"},"modified":"2023-08-18T16:21:07","modified_gmt":"2023-08-18T08:21:07","slug":"%e4%b8%8a%e6%b5%b7%e7%ba%bf%e4%b8%8b%ef%bc%9a%e5%8c%bb%e7%96%97%e5%9c%ba%e6%99%af%e4%b8%ad%e7%9a%84%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b%ef%bc%9a%e9%80%9a%e6%89%8d%e4%b8%8e","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44556","title":{"rendered":"\u4e0a\u6d77\u7ebf\u4e0b\uff1a\u533b\u7597\u573a\u666f\u4e2d\u7684\u57fa\u7840\u6a21\u578b\uff1a\u201c\u901a\u624d\u201d\u4e0e\u201c\u4e13\u624d\u201d | \u5468\u65e5\u76f4\u64ad\u00b7\u751f\u7269\u533b\u5b66\u5927\u6a21\u578b\u8bfb\u4e66\u4f1a\u7b2c\u4e00\u671f"},"content":{"rendered":"
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AI\u6280\u672f\u9010\u6e10\u6210\u4e3a\u6211\u4eec\u751f\u6d3b\u4e2d\u7684\u4e00\u90e8\u5206\uff0c\u5176\u5f71\u54cd\u529b\u548c\u5e94\u7528\u5e7f\u6cdb\u6027\u4e0d\u65ad\u4e0a\u5347\uff0c \u4f8b\u5982 OpenAI\u7684GPT\u7cfb\u5217\u6a21\u578b\uff0c\u901a\u8fc7\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\u6210\u529f\u5438\u7eb3\u5e76\u7406\u89e3\u4eba\u7c7b\u77e5\u8bc6\u548c\u667a\u6167\uff0c\u4e3a\u591a\u79cd\u4efb\u52a1\u63d0\u4f9b\u575a\u5b9e\u7684\u57fa\u7840\u3002<\/span><\/strong><\/p>\n


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      [1]Tim Dettmers, Mike Lewis, Younes Belkada, et al. LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale. arXiv:2208.07339, 2022<\/span><\/p>\n

      [2]Elias Frantar, Saleh Ashkboos, Torsten Hoefler, et al. GPTQ: Accurate Post-Training Quantization for Generative Pre-trained<\/span><\/p>\n

      [3]Ji Lin, Jiaming Tang, Haotian Tang, et al. AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. arXiv:2306.00978, 2023<\/span><\/p>\n

      [4]Shaoting Zhang, Dimitris Metaxas. On the Challenges and Perspectives of Foundation Models for Medical Image Analysis. arXiv:2306.05705, 2023<\/span><\/section>\n

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      [1] https:\/\/github.com\/InternLM\/lmdeploy<\/span><\/section>\n
      [2] https:\/\/github.com\/openmedlab<\/span><\/section>\n


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      AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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      <\/section>\n
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      AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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