{"id":60414,"date":"2021-07-01T09:43:27","date_gmt":"2021-07-01T00:43:27","guid":{"rendered":"https:\/\/smilegate.ai\/?p=60414"},"modified":"2021-07-05T11:04:23","modified_gmt":"2021-07-05T02:04:23","slug":"gpt-j-6b","status":"publish","type":"post","link":"https:\/\/smilegate.ai\/cn\/2021\/07\/01\/gpt-j-6b\/","title":{"rendered":"\u5f00\u6e90 GPT-3 \u6a21\u578b\u53d1\u5e03\uff0cGPT-J-6B"},"content":{"rendered":"

[\u524d\u7814\u7a76\u7ec4\u91d1\u6210yun]<\/p>\n\n\n\n

\u5728\u5f00\u653e\u8bb8\u53ef\u4e0b\u53d1\u5e03 GPT-3 \u6a21\u578b\u7684 Eleuther AI \u56e2\u961f\u6700\u8fd1\u53d1\u5e03\u4e86\u4e00\u4e2a\u65b0\u7684 GPT-3 \u6a21\u578b\uff0c\u8be5\u6a21\u578b\u5177\u6709 6B\uff08\u7ea6 60 \u4ebf\uff09\u53c2\u6570\u3002 (\u5173\u8054<\/a>)
\u636e\u8bf4\u4e4b\u6240\u4ee5\u7ed9GPT-J-6B\u8fd9\u4e2a\u540d\u5b57\uff0c\u662f\u56e0\u4e3a\u4f7f\u7528\u4e86Mesh-tensorflow\u548cJAX\u3002<\/p>\n\n\n\n

\u8bad\u7ec3\u6570\u636e\u5927\u7ea6\u662f 825 GB \u7684\u6587\u672c\u6570\u636e\u3002 \u6869<\/a>\u636e\u8bf4\u5df2\u7ecf\u4f7f\u7528 TPU v3-256 \u8bad\u7ec3\u4e86\u5927\u7ea6 5 \u5468\u3002<\/p>\n\n\n\n

\u5b8c\u6574\u6a21\u578b\u7684\u5bb9\u91cf\u662f 61 GB\uff0c\u4f46\u662f\u4f7f\u7528 bf16 \u538b\u7f29\u7684\u6a21\u578b\u662f 9 GB\uff0c \u534f\u4f5c\u5b9e\u9a8c\u5ba4<\/a>\u4e5f\u53ef\u4ee5\u8fd0\u884c\u3002<\/p>\n\n\n\n

\u5bf9\u6bd4110M\u7684BERT\u57fa\u7840\u6a21\u578b\u548c340M\u7684\u5927\u6a21\u578b\uff0c\u4f3c\u4e4e\u53ef\u4ee5\u770b\u51fa\u4eba\u5de5\u667a\u80fd\u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u5728\u77ed\u65f6\u95f4\u5185\u53d6\u5f97\u4e86\u591a\u5927\u7684\u8fdb\u6b65\u3002 \ud83d\ude42<\/p>\n\n\n\n

\u90a3\u4e48GPT-J-6B\u7684\u6027\u80fd\u5982\u4f55\u5462\uff1f
\u4e0b\u9762\u6211\u4eec\u6765\u770b\u770b\u7ffb\u8bd1\u540e\u7684\u6d4b\u8bd5\u7ed3\u679c\u3002<\/p>\n\n\n\n

Smilegate \u4eba\u5de5\u667a\u80fd<\/strong>\u662f\u4e00\u5bb6\u5b8c\u5168\u81ea\u4e3b\u7684\u5236\u4f5c\u516c\u53f8\uff0c\u63d0\u4f9b\u4e00\u4f53\u5316\u5236\u4f5c\u5e73\u53f0\u548c\u5de5\u5177\uff0c\u4f7f\u7535\u5f71\u5236\u4f5c\u4eba\u80fd\u591f\u5728\u5b8c\u5168\u96c6\u6210\u7684\u73af\u5883\u4e2d\u5236\u4f5c\u7535\u5f71\u3002\u6211\u4eec\u7684\u4f7f\u547d\u662f\u5efa\u7acb\u4e00\u4e2a\u884c\u4e1a\uff0c\u8ba9\u4efb\u4f55\u7535\u5f71\u5236\u4f5c\u4eba\uff0c\u65e0\u8bba\u7ecf\u9a8c\u6c34\u5e73\u6216\u9884\u7b97\u5982\u4f55\uff0c\u90fd\u80fd\u4ee5\u53ef\u627f\u53d7\u7684\u4ef7\u683c\u8f7b\u677e\u5236\u4f5c\u5177\u6709\u4e13\u4e1a\u6548\u679c\u7684\u4f18\u79c0\u7535\u5f71\u3002<\/p>

\u5728 NAB \u5c55\u4f4d #2049 \u52a0\u5165\u6211\u4eec\u3002<\/p>

\u73b0\u5728\u7ed9\u6211\u4eec\u6253\u7535\u8bdd\u3002 866-722-4274<\/p>\u7c97\u4f53\u6587\u672c\u4e3a\u8f93\u5165\u6587\u672c\uff0c\u5176\u4f59\u4e3a\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/cite><\/blockquote>\n\n\n\n

Smilegate \u4eba\u5de5\u667a\u80fd<\/strong>\u662f\u4e00\u6b3e AI \u9a71\u52a8\u7684\u56fe\u50cf\u548c\u89c6\u9891\u5408\u6210\u5668\uff0c\u65e0\u9700\u624b\u52a8\u7f16\u8f91\u5373\u53ef\u4ece\u7279\u5b9a\u6587\u4ef6\u5939\u4e2d\u7684\u7167\u7247\u548c\u89c6\u9891\u81ea\u52a8\u521b\u5efa\u5e7b\u706f\u7247\u3002\u5b83\u662f\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684\u9ad8\u8d28\u91cf\u7a0b\u5e8f\uff0c\u53ef\u7528\u4f5c\u81ea\u52a8\u5e7b\u706f\u7247\u5236\u4f5c\u5668\u548c\u56fe\u50cf\u5230\u89c6\u9891\u8f6c\u6362\u5668\u3002\u8fd9\u662f\u6700\u597d\u7684\u7167\u7247\u7f16\u8f91\u8f6f\u4ef6\u4e4b\u4e00\u3002\u60a8\u53ef\u4ee5\u7f16\u8f91\u7167\u7247\uff0c\u7136\u540e\u521b\u5efa\u5e76\u4fdd\u5b58\u5b83\u4eec\u3002\u5982\u679c\u60a8\u5bf9\u7167\u7247\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u53ef\u4ee5\u4f7f\u7528\u8be5\u529f\u80fd\u8c03\u6574\u989c\u8272\u3001\u4eae\u5ea6\u7b49\u3002\u9002\u5408\u7167\u7247\u4fee\u56fe\u3002<\/p>

AutoCAD 2016 \u662f\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684\u8f6f\u4ef6\u7a0b\u5e8f\uff0c\u4e13\u4e3a\u5efa\u7b51\u5e08\u3001\u5de5\u7a0b\u5e08\u3001\u7ed8\u56fe\u5458\u548c\u5176\u4ed6\u4e13\u4e1a\u4eba\u58eb\u8bbe\u8ba1\u3002\u8be5\u7a0b\u5e8f\u53ef\u7528\u4e8e\u5e7f\u6cdb\u7684\u4e13\u4e1a\u4efb\u52a1\uff0c\u5982\u5efa\u7b51\u3001\u65bd\u5de5\u3001\u5de5\u7a0b\u3001\u5bb6\u5c45\u8bbe\u8ba1\u3001\u57ce\u5e02\u89c4\u5212\u3001\u5ba4\u5185\u8bbe\u8ba1\u3001\u666f\u89c2\u7f8e\u5316\u7b49\u3002\u60a8\u53ef\u4ee5\u5feb\u901f\u8f7b\u677e\u5730\u521b\u5efa\u5404\u79cd\u5bf9\u8c61\uff0c\u4f8b\u5982\u5efa\u7b51\u7269\u3001\u623f\u5c4b\u3001\u5854\u697c\u3001\u98de\u673a\u3001\u6865\u6881\u7b49\u3002<\/p>

Adobe Lightroom \u662f\u4e3a\u6444\u5f71\u5e08\u548c\u5e73\u9762\u8bbe\u8ba1\u5e08\u63d0\u4f9b\u7684\u7efc\u5408\u7167\u7247\u7ba1\u7406\u548c\u7f16\u8f91\u89e3\u51b3\u65b9\u6848\u3002\u5b83\u6613\u4e8e\u4f7f\u7528\u5e76\u5177\u6709\u9ad8\u8d28\u91cf\u7684\u754c\u9762\u3002\u5b83\u975e\u5e38\u9002\u5408\u60f3\u8981\u7f16\u8f91\u7167\u7247\u7684\u6444\u5f71\u5e08\u3002\u7167\u7247\u7f16\u8f91\u5668\u662f\u7528\u4e8e\u67e5\u770b\u3001\u521b\u5efa\u3001\u7f16\u8f91\u548c\u4fdd\u5b58\u7167\u7247\u7684\u8f6f\u4ef6\u7a0b\u5e8f\u3002\u8c03\u6574\u5bf9\u6bd4\u5ea6\u3001\u4eae\u5ea6\u3001\u9510\u5ea6\u3001\u9971\u548c\u5ea6\u3001\u8272\u8c03\u7b49\uff0c\u521b\u5efa\u5e7b\u706f\u7247\uff0c\u5e94\u7528\u7279\u6b8a\u6548\u679c\u7b49\u3002<\/p>

GIMP \u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684\u5f00\u6e90\u56fe\u50cf\u7f16\u8f91\u5668\u3002\u5b83\u5177\u6709\u7b80\u5355\u76f4\u89c2\u7684\u754c\u9762\uff0c\u9002\u5408\u5e7f\u6cdb\u7684\u53d7\u4f17\u3002 GIMP \u88ab\u5e7f\u6cdb\u4f7f\u7528\u548c\u6d41\u884c\u3002\u5b83\u662f\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u7167\u7247\u7f16\u8f91\u7a0b\u5e8f\u3002<\/p>\u7c97\u4f53\u6587\u672c\u4e3a\u8f93\u5165\u6587\u672c\uff0c\u5176\u4f59\u4e3a\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/cite><\/blockquote>\n\n\n\n

\u4eba\u7c7b\uff1a\u4f60\u597d\uff0c\u4f60\u662f\u8c01\uff1f
AI\uff1a\u6211\u662fSmilegate\u521b\u9020\u7684AI\u3002\u6211\u4eec\u4eca\u5929\u5982\u4f55\u5e2e\u52a9\u60a8\uff1f
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\u4eba\u7c7b\uff1a\u6211\u53ea\u662f\u8981\u505a\u4e00\u4e9b\u7b80\u5355\u7684\u4e8b\u60c5
\u827e\uff1a\u90a3\u4f60\u80fd\u5e2e\u6211\u4f20\u5de5\u4f5c\u5417\uff1f
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\u4eba\u7c7b\uff1a\u597d\u7684\uff01<\/p>\u7c97\u4f53\u6587\u672c\u4e3a\u8f93\u5165\u6587\u672c\uff0c\u5176\u4f59\u4e3a\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/cite><\/blockquote>\n\n\n\n

\u4eba\u7c7b\uff1a\u4f60\u597d\uff0c\u4f60\u662f\u8c01\uff1f<\/strong>
AI\uff1a\u6211\u662fSmilegate\u521b\u9020\u7684AI\u3002\u6211\u4eec\u4eca\u5929\u5982\u4f55\u5e2e\u52a9\u60a8\uff1f<\/strong>
\u4eba\u7c7b\uff1a\u6211\u4eca\u5929\u5f88\u90c1\u95f7\uff0c\u6240\u4ee5\u8bf7\u5e2e\u5e2e\u6211<\/strong>
\u827e\uff1a\u6211\u80fd\u5e2e\u4f60\u4ec0\u4e48\uff1f
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\u827e\uff1a\u6ca1\u9519\uff0c\u4f46\u662f\u4f60\u73b0\u5728\u8981\u542c\u7684\u6b4c\u5f88\u53d7\u6b22\u8fce\uff0c\u6240\u4ee5\u6ca1\u6709\u5fc5\u8981\u611f\u5230\u5185\u759a\u3002\u795d\u4f60\u597d\u8fd0\uff01<\/p>\u7c97\u4f53\u6587\u672c\u4e3a\u8f93\u5165\u6587\u672c\uff0c\u5176\u4f59\u4e3a\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/cite><\/blockquote>\n\n\n\n

Q\uff1a\u672a\u6765\u4eba\u5de5\u667a\u80fd\u5c06\u5982\u4f55\u53d1\u5c55\uff1f
<\/strong>A\uff1a\u4eba\u5de5\u667a\u80fd\u9886\u57df\u53d1\u5c55\u975e\u5e38\u8fc5\u901f\uff0c\u4f46\u8fd8\u4e0d\u591f\u5148\u8fdb\u3002\u56e0\u4e3a\u6211\u4eec\u8fd8\u6ca1\u6709\u5f00\u53d1\u51fa\u53ef\u4ee5\u5b9e\u65f6\u6a21\u62df\u5927\u8111\u7684\u6280\u672f\u3002<\/p><\/blockquote>\n\n\n\n

\u95ee\uff1a\u97e9\u56fd\u54ea\u4e9b\u516c\u53f8\u62e5\u6709\u6700\u597d\u7684\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff1f
<\/strong>\u7b54\uff1a\u97e9\u56fd\u662f\u4f17\u6240\u5468\u77e5\u7684\u5728\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4e0a\u6295\u5165\u5de8\u8d44\u7684\u56fd\u5bb6\u3002\u8fc7\u53bb\u5341\u5e74\uff0c\u97e9\u56fd\u53d1\u5c55\u51fa\u7684\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4e0d\u4ec5\u4f18\u4e8e\u5176\u4ed6\u56fd\u5bb6\u7684\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u800c\u4e14\u66f4\u52a0\u5148\u8fdb\u3002<\/p>\u7c97\u4f53\u6587\u672c\u4e3a\u8f93\u5165\u6587\u672c\uff0c\u5176\u4f59\u4e3a\u6a21\u578b\u7684\u8f93\u51fa\u3002<\/cite><\/blockquote>\n\n\n\n

<\/p>\n\n\n\n

\u5b83\u6bd4\u6211\u9884\u671f\u7684\u8981\u597d\u5f97\u591a\uff01 \ud83d\ude42<\/p>\n\n\n\n

<\/p>\n

<\/span><\/div>","protected":false},"excerpt":{"rendered":"

[\uc120\ud589\uc5f0\uad6c\ud300 \uae40\uc131\ud604] \uc624\ud508\ub77c\uc774\uc13c\uc2a4\ub85c GPT-3 \ubaa8\ub378\uc744 \uacf5\uac1c\ud558\ub358 Eleuther AI\ud300\uc5d0\uc11c \ucd5c\uadfc 6B (\uc57d 60\uc5b5)\uc758 \ud30c\ub77c\ubbf8\ud130\ub97c \uac00\uc9c0\ub294 \uc0c8\ub85c\uc6b4 GPT-3 \ubaa8\ub378\uc744 \uacf5\uac1c\ud588\uc2b5\ub2c8\ub2e4. (\ub9c1\ud06c)Mesh-tensorflow\uc640 JAX\ub97c \ud65c\uc6a9\ud558\uc600\uae30 \ub54c\ubb38\uc5d0 GPT-J-6B \ub77c\ub294 \uc774\ub984\uc774 \ubd99\uc5c8\ub2e4\uace0 \ud569\ub2c8\ub2e4. \ud559\uc2b5 \ub370\uc774\ud130\ub294 \uc57d 825GB\uc5d0 \ub2ec\ud558\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc778 Pile\uc774\uba70, TPU v3-256\uc744 \uc0ac\uc6a9\ud574 \uc57d 5\uc8fc \uc815\ub3c4 \ud559\uc2b5\ud588\ub2e4\uace0 \ud569\ub2c8\ub2e4. \uc804\uccb4 \ubaa8\ub378\uc758 \uc6a9\ub7c9\uc740 61GB\uc9c0\ub9cc, bf16\uc73c\ub85c \uc555\ucd95\ud55c \ubaa8\ub378\uc740 9GB\ub85c, colab\uc73c\ub85c\ub3c4 \uc2e4\ud589\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4. BERT…<\/p>\n

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