{"id":12161,"date":"2024-07-04T17:41:14","date_gmt":"2024-07-04T09:41:14","guid":{"rendered":"https:\/\/ihower.tw\/blog\/?p=12161"},"modified":"2025-07-19T19:28:26","modified_gmt":"2025-07-19T11:28:26","slug":"aie-ai-engineer-worlds-fair-2024","status":"publish","type":"post","link":"https:\/\/ihower.tw\/blog\/12161-aie-ai-engineer-worlds-fair-2024","title":{"rendered":"\u611b\u597d AI Engineer \u96fb\u5b50\u5831 \ud83d\ude80\u00a0AI Engineer World’s Fair \u5927\u6703 #14"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Hello! \u4f60\u597d \ud83d\udc4b<\/p>\n\n\n\n

\u6211\u662f ihower\uff0c\u8fd1\u671f\u5168\u7403 AI \u5de5\u7a0b\u5e2b\u6700\u95dc\u5fc3\u7684\u4e8b\u60c5\uff0c\u5c31\u662f\u5728\u820a\u91d1\u5c71\u7684 AI Engineer World’s Fair 2024 \u5927\u6703<\/a>\u5566 \ud83c\udf89\ud83c\udf89<\/p>\n\n\n\n

\u9019\u6b21\u5927\u6703\u6709\u597d\u5e7e\u8ecc\uff0c\u6d89\u7375\u7684\u4e3b\u984c\u5305\u62ec CodeGen, Open Models, RAG, Multimodality, GPUs, Evals, and Agents \u7b49\u7b49\u3002<\/p>\n\n\n\n

\u76ee\u524d\u91cb\u51fa\u7684\u76f4\u64ad\u9304\u5f71<\/a>\u53ea\u6709\u516c\u958b\u5176\u4e2d\u5169\u5929\u5169\u8ecc\uff0c\u4f46\u9577\u5ea6\u4e5f\u662f\u7d04 8.5+8.5+3.5+4 \u7d04 24 \u5c0f\u6642\u7684\u9577\u5ea6\u3002
\u5982\u4f55\u7528\u6700\u77ed\u6642\u9593\uff0c\u5438\u6536\u9019\u9ebc\u9577\u7684\u82f1\u6587\u6f14\u8b1b\u5167\u5bb9\u5462? \u6211\u8ddf Claude 3.5 Sonnet \u5354\u4f5c\u5beb\u4e86\u500b\u81ea\u52d5\u5316\u7a0b\u5f0f\uff0c\u53ef\u5c07\u5f71\u7247\u8f49\u6210 \u4e0d\u91cd\u8907\u5716\u7247 \u642d\u914d \u8a9e\u97f3\u8fa8\u8b58\u5b57\u5e55 \u7db2\u9801\uff0c\u4e26\u52a0\u4e0a\u4e2d\u6587\u7ffb\u8b6f\u3002\u56e0\u70ba\u770b\u6587\u5b57\u7684\u901f\u5ea6\uff0c\u6bd4\u770b\u5f71\u7247\u9084\u5feb\u3002\u5982\u679c\u6295\u5f71\u7247\u770b\u5230\u6709\u8208\u8da3\u7684\uff0c\u65c1\u908a\u5c31\u53ef\u4ee5\u770b\u5230\u5c0d\u61c9\u7684\u9010\u5b57\u7a3f\uff0c\u4e0d\u6703\u6709\u6f0f\u6389\u7684\u5167\u5bb9\uff0c\u9010\u5b57\u8ddf\u73fe\u5834\u756b\u9762\u90fd\u6709\u3002<\/p>\n\n\n\n

\u6211\u9678\u7e8c\u6574\u7406\u4e2d\u7684\u622a\u5716\u548c\u9010\u5b57\u7a3f\u90fd\u653e\u5728\u9019\u88e1<\/a>\uff0c\u4ee5\u4e0b\u4ecb\u7d39\u5e7e\u5834\u5167\u5bb9: <\/p>\n\n\n\n\n\n\n\n

\ud83d\udd1dAIE\u5927\u6703: Simon Willison \u7684 Open Challenges for AI Engineering<\/a><\/h3>\n\n\n\n

Simon Willison  \u662f\u6211\u5f88\u559c\u6b61\u7684\u4e00\u4f4d Python \u5de5\u7a0b\u5e2b\uff0c\u4ed6\u4e5f\u662f Django \u7684\u5171\u540c\u767c\u660e\u8005\uff0c\u8fd1\u4f86\u975e\u5e38\u95dc\u6ce8 AI \u8b70\u984c\u3002\u9019\u5834\u5206\u4eab\u4ed6\u8b1b\u4e86\u76ee\u524d\u7684 ChatGPT \u4f7f\u7528\u8005\u9ad4\u9a57\u9084\u4e0d\u5920\u597d\u8981\u518d\u52a0\u6cb9\u3001prompt injection \u8b70\u984c\u3001AI \u4fe1\u4efb\u5371\u6a5f: \u7528\u6236\u64d4\u5fc3\u79c1\u4eba\u8cc7\u6599\u88ab\u7528\u5728\u8a13\u7df4\uff0c\u4ed6\u7279\u5225\u8b9a\u7f8e\u4e86 Anthropic \u5728\u767c\u5e03 Claude 3.5 \u516c\u544a\u88e1\u9762\u88dc\u5145\u4e86\u4ed6\u5011\u5230\u76ee\u524d\u70ba\u6b62\uff0c\u6c92\u6709\u7528\u4efb\u4f55\u7528\u6236\u8cc7\u6599\u4f86\u505a\u8a13\u7df4\u3002\u6700\u5f8c\u547c\u7c72\u6211\u5011\u8981\u907f\u514d\u767c\u5e03\u672a\u7d93\u5be9\u6838\u7684AI\u751f\u6210\u5167\u5bb9\uff0c\u9019\u7a2e\u5167\u5bb9\u53eb\u505a slop!<\/p>\n\n\n\n

\ud83d\udc4dAIE\u5927\u6703: Mozilla \u7684 Llamafile<\/a><\/h3>\n\n\n\n

\u662f\u7684\uff0c\u662f Mozilla\uff0c\u9019\u500b Llamafile \u53ef\u5c07\u6a21\u578b\u8f49\u63db\u70ba\u55ae\u4e00\u53ef\u57f7\u884c\u6587\u4ef6\uff0c\u7121\u9700\u5b89\u88dd\u5373\u53ef\u5728\u5404\u7a2e\u64cd\u4f5c\u7cfb\u7d71\u548c CPU \u786c\u9ad4\u4e0a\u904b\u884c\uff0c\u8d85\u731b\u3002 <\/p>\n\n\n\n

\ud83c\udfafAIE\u5927\u6703: AWS \u7684 5 practical steps to go from Software<\/a><\/h3>\n\n\n\n

\u96d6\u7136\u5167\u5bb9\u504f\u7c21\u55ae\u800c\u4e14\u662f\u8d0a\u52a9\u5546\u5834(\u7f6e\u5165\u4ecb\u7d39\u4e86 AWS Bedrock \u548c AWS Q Developer \u7522\u54c1)\uff0c\u4f46\u662f\u6f14\u8b1b\u6a19\u984c\u548c\u884c\u52d5\u547c\u7c72\u6211\u662f\u883b\u8a8d\u540c\u7684\u3002<\/p>\n\n\n\n

\u505a AI \u672c\u4f86\u662f\u6a5f\u5668\u5b78\u7fd2\u5de5\u7a0b\u5e2b\u7684\u5c08\u79d1\u9818\u57df\uff0c\u73fe\u5728\u9580\u6abb\u5df2\u7d93\u964d\u5230\u5ee3\u5927\u7684 App \u8edf\u9ad4\u5de5\u7a0b\u5e2b\u5011\uff0c\u4e5f\u53ef\u4ee5\u6709\u80fd\u529b\u958b\u767c LLM-based \u7684 AI \u61c9\u7528\u3002<\/p>\n\n\n\n

AWS \u6f14\u8b1b\u4e2d\u7684\u4e94\u500b\u5be6\u7528\u6b65\u9a5f\uff0c\u8b93\u4f60\u5f9e Software Developer \u6210\u70ba AI Engineer:<\/p>\n\n\n\n

1. Understand the basics of Gen AI: \u9019\u6709\u5f88\u591a\u65b0\u7684\u5c08\u696d\u540d\u8a5e\u8981\u5b78\u7fd2\uff0c\u53ef\u4ee5\u770b\u770b\u6211\u7684\u5165\u9580\u6295\u5f71\u7247<\/a>
2. Increase your productivity with AI: \u8b93 AI \u8f14\u52a9\u7a0b\u5f0f\u958b\u767c\uff0c\u53ef\u4f7f\u7528 Github Copilot \u6216\u662f\u9019\u5834\u7684 Amazon Q Developer
3. Start prototyping and building with AI: \u4e32 LLM API \u5f88\u6709\u8da3\u7684\uff0c\u53ef\u4ee5\u505a\u4e9b side project \u7df4\u7df4\u624b
4. Integrate AI into your application: \u5728\u4f60\u7684\u61c9\u7528\u4e2d\u5c0e\u5165 AI \u529f\u80fd
5. Stay updated and engage with the community: \u793e\u7fa4\u53c3\u8207\uff0c\u4f8b\u5982 Facebook \u793e\u5718\u6709 Generative AI \u5e74\u6703<\/a> \u3001 Generative AI \u6280\u8853\u4ea4\u6d41\u4e2d\u5fc3<\/a> \u548c \u53f0\u7063\u4eba\u5de5\u667a\u6167\u540c\u597d\u4ea4\u6d41\u5340<\/a> \u7b49\u7b49\uff0c\u7576\u7136\u4e5f\u6b61\u8fce\u8ffd\u8e64\u6211\u7684 Facebook<\/a>\u3002<\/p>\n\n\n\n

\u9019\u5834 AWS talk \u9084 demo \u4e86\u4e00\u500b Minecraft agent<\/a> \u4e5f\u5f88\u6709\u8da3\u3002<\/p>\n\n\n\n

\ud83d\udea7AIE\u5927\u6703: Devin AI \u5275\u8fa6\u4eba Scott Wu \u7684\u6f14\u8b1b\u00a0<\/a><\/h3>\n\n\n\n

\u9019\u5834\u662f\u7531\u524d\u4e00\u9663\u975e\u5e38\u6709\u8a71\u984c\u7684 Devin AI\uff0c\u865f\u7a31\u5168\u7403\u9996\u4f4dAI\u5de5\u7a0b\u5e2b \u7684 \u5275\u8fa6\u4eba Scott Wu \u7684\u6f14\u8b1b\u3002\u6211\u89ba\u5f97\u4ed6\u7684\u7d50\u5c3e\u8b1b\u5f97\u592a\u68d2\u4e86\uff0c\u5bb9\u6211\u7de8\u6392\u5f8c\u76f4\u63a5\u8cbc\u4e0a\u4ed6\u8b1b\u7684\u8a71: <\/p>\n\n\n\n

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

Devin\u4e26\u4e0d\u662f\u6c7a\u5b9a\u8a72\u505a\u4ec0\u9ebc\u6216\u8a72\u69cb\u5efa\u4ec0\u9ebc\u7684\u4eba\u3002\u5728\u8edf\u9ad4\u5de5\u7a0b\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u8edf\u9ad4\u5de5\u7a0b\u5e2b\u7121\u8ad6\u5728\u54ea\u88e1\uff0c\u5176\u5be6\u90fd\u5728\u540c\u6642\u505a\u5169\u4efd\u5de5\u4f5c:<\/p>\n\n\n\n

\u7b2c\u4e00\u4efd\u5de5\u4f5c\u57fa\u672c\u4e0a\u662f\u7528\u7a0b\u5f0f\u78bc\u89e3\u6c7a\u554f\u984c\u3002\u7cbe\u78ba\u5730\u5206\u89e3\u51fa\u4f60\u5c07\u69cb\u5efa\u7684\u89e3\u6c7a\u65b9\u6848\u662f\u4ec0\u9ebc\u3002\u4f60\u5c07\u4f7f\u7528\u4ec0\u9ebc\u67b6\u69cb\uff1f\u6240\u6709\u7684\u6d41\u7a0b\u548c\u7d30\u7bc0\u4ee5\u53ca\u53ef\u80fd\u51fa\u73fe\u7684\u908a\u7de3\u60c5\u6cc1\u662f\u4ec0\u9ebc\uff0c\u4e26\u8a2d\u8a08\u51fa\u4f60\u7684\u7cbe\u78ba\u89e3\u6c7a\u65b9\u6848\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u90e8\u5206\u662f\uff0c\u4f60\u5c07\u8655\u7406\u9664\u932f\u6216\u5be6\u73fe\u4e0d\u540c\u7684\u529f\u80fd\u6216\u64b0\u5beb\u55ae\u5143\u6e2c\u8a66\uff0c\u6216\u8005\u6240\u6709\u5176\u4ed6\u6d89\u53ca\u5230\u4f60\u77e5\u9053\u4f60\u60f3\u505a\u7684\u4e8b\u7684\u5be6\u73fe\u904e\u7a0b\u4e2d\u7684\u4e8b\u60c5\u3002<\/p>\n\n\n\n

\u6211\u8a8d\u70ba\u73fe\u5728\u666e\u901a\u7684\u8edf\u9ad4\u5de5\u7a0b\u5e2b\u53ef\u80fd\u82b110%\u621620%\u7684\u6642\u9593\u5728\u7b2c\u4e00\u500b\u601d\u8003\u90e8\u5206\uff0c\u800c\u82b180%\u621690%\u7684\u6642\u9593\u5728\u5be6\u73fe\u90e8\u5206\u3002\u6211\u5011\u771f\u6b63\u770b\u5230\u7684\u662f\uff0cDevin\u5be6\u969b\u4e0a\u8b93\u4f60\u6709\u66f4\u591a\u6642\u9593\u505a\u7b2c\u4e00\u90e8\u5206\u3002<\/p>\n\n\n\n

\u6211\u8a8d\u70baDevin\u7684\u672a\u4f86\uff0cDevin\u8b93\u4f60\u4e0d\u5fc5\u53bb\u8a2d\u7f6eKubernetes\uff0c\u4e0d\u5fc5\u53bb\u9664\u932f\u90a3\u4e9b\u6545\u969c\u7684API\uff0c\u4e0d\u5fc5\u8655\u7406\u7248\u672c\u8b8a\u66f4\u6216\u9077\u79fb\uff0c\u6216\u8005\u90a3\u4e9b\u5728\u8edf\u9ad4\u5de5\u7a0b\u4e2d\u4f54\u7528\u5927\u91cf\u6642\u9593\u7684\u5176\u4ed6\u4e8b\u60c5\uff0c\u800c\u4f60\u5be6\u969b\u4e0a\u6703\u82b1\u6240\u6709\u6642\u9593\u5728\u89e3\u6c7a\u9762\u524d\u7684\u554f\u984c\u4e0a\u3002\u9019\u6709\u9ede\u50cf\u6280\u8853\u67b6\u69cb\u5e2b\u548c\u7522\u54c1\u7d93\u7406\u7684\u6df7\u5408\u9ad4\u3002<\/p>\n\n\n\n

\u6240\u4ee5\uff0c\u6211\u8a8d\u70ba\u6211\u5011\u7a31\u4e4b\u70ba\u8edf\u9ad4\u5de5\u7a0b\u7684\u5de5\u4f5c\u6703\u6539\u8b8a\u3002\u4f46\u5be6\u969b\u4e0a\u6211\u8a8d\u70ba\u6703\u6709\u6bd4\u4ee5\u5f80\u66f4\u591a\u7684\u8edf\u9ad4\u5de5\u7a0b\u5e2b\u3002\u6211\u8a8d\u70ba\u9019\u65b9\u9762\u6709\u5f88\u591a\u5148\u4f8b\u3002\u4ee5\u524d\u7de8\u7a0b\u610f\u5473\u8457\u7a7f\u5b54\u5361\u7247\uff0c\u7136\u5f8c\u662f\u532f\u7de8\uff0c\u518d\u5f8c\u4f86\u662fC\u8a9e\u8a00\u3002\u96a8\u8457\u9019\u4e9b\u6280\u8853\u7684\u767c\u5c55\uff0c\u5927\u591a\u6578\u4eba\u4e0d\u518d\u4f7f\u7528\u7a7f\u5b54\u5361\u7247\uff0c\u4f46\u5be6\u969b\u4e0a\u7a0b\u5e8f\u54e1\u7684\u6578\u91cf\u6bd4\u4ee5\u524d\u591a\u5f97\u591a\u3002<\/p>\n\n\n\n

\u6211\u8a8d\u70ba\u5bb9\u6613\u88ab\u4f4e\u4f30\u7684\u4e00\u9ede\u662f\u9700\u8981\u7de8\u5beb\u7684\u7a0b\u5f0f\u78bc\u5be6\u969b\u4e0a\u591a\u5f97\u591a\u3002\u9019\u5f88\u6709\u8da3\uff0c\u56e0\u70ba\u6211\u5011\u5728\u5834\u7684\u6240\u6709\u4eba\u90fd\u71b1\u611b\u8edf\u9ad4\u3002\u6211\u8a8d\u70ba\u8edf\u9ad4\u662f\u904e\u53bb40\u621650\u5e74\u4f86\u4e16\u754c\u9032\u6b65\u7684\u9996\u8981\u9a45\u52d5\u529b\u3002\u5118\u7ba1\u5982\u6b64\uff0c\u6211\u8a8d\u70ba\u6211\u5011\u5c0d\u8edf\u9ad4\u7684\u9700\u6c42\u5be6\u969b\u4e0a\u53ef\u80fd\u6bd4\u73fe\u5728\u591a10\u500d\u3002<\/p>\n\n\n\n

\u6240\u4ee5\uff0c\u6211\u8a8d\u70ba\u6211\u5011\u80fd\u8b93\u66f4\u591a\u4eba\u63a5\u89f8\u5230\u8edf\u9ad4\u5de5\u7a0b\u7684\u529b\u91cf\uff0c\u6bcf\u500b\u8edf\u9ad4\u5de5\u7a0b\u5e2b\u90fd\u80fd\u63d0\u9ad85\u523010\u500d\u7684\u6548\u7387\u3002\u4f46\u6211\u5011\u5be6\u969b\u4e0a\u6703\u505a\u66f4\u591a\u7684\u8edf\u9ad4\u5de5\u7a0b\u3002\u5f88\u9177\u3002<\/p>\n\n\n\n

\u6709\u4eba\u554f\uff0c\u96a8\u8457\u6240\u6709\u9019\u4e9b\u7c21\u55ae\u4efb\u52d9\u7684\u89e3\u6c7a\uff0c\u5c0d\u65bc\u9700\u8981\u5b78\u7fd2\u7de8\u7a0b\u7684\u521d\u7d1a\u5de5\u7a0b\u5e2b\u6216\u5be6\u7fd2\u751f\u4f86\u8aaa\u6703\u767c\u751f\u4ec0\u9ebc\uff1f\u6211\u8a8d\u70ba\uff0c\u5766\u767d\u8aaa\uff0c\u6211\u8a8d\u70ba\u9700\u6c42\u5c07\u7e7c\u7e8c\u96a8\u4f9b\u61c9\u589e\u52a0\u3002<\/p>\n\n\n\n

\u6211\u8a8d\u70ba\u57f9\u8a13\u904e\u7a0b\u6703\u6709\u6240\u6539\u8b8a\u3002\u4f46\u6211\u8a8d\u70ba\u5f88\u591a\u9019\u4e9b\u6838\u5fc3\u57fa\u790e\uff0c\u5982\u679c\u4f60\u8aaa\u67d0\u4eba\u662f\u4e00\u500b\u975e\u5e38\u512a\u79c0\u7684\u5de5\u7a0b\u5e2b\uff0c\u901a\u5e38\u4f60\u4e0d\u662f\u8aaa\u4ed6\u5011\u6253\u5b57\u901f\u5ea6\u5f88\u5feb\uff0c\u5118\u7ba1\u4ed6\u5011\u53ef\u80fd\u4e5f\u5f88\u5feb\u3002\u901a\u5e38\u4f60\u662f\u6307\u4ed6\u5011\u5c0d\u554f\u984c\u6709\u5f88\u597d\u7684\u7406\u89e3\uff0c\u4ed6\u5011\u77e5\u9053\u6240\u6709\u4e0d\u540c\u7684\u67b6\u69cb\uff0c\u4ed6\u5011\u5f9e\u4e0d\u932f\u904e\u4efb\u4f55 edge-case \u60c5\u6cc1\u7b49\u7b49\u3002\u6240\u4ee5\u9019\u4e9b\u662f\u6211\u8a8d\u70ba\u59cb\u7d42\u91cd\u8981\u7684\u57fa\u790e\u3002\u6211\u8a8d\u70ba\u5be6\u7fd2\u751f\u6216\u521d\u7d1a\u5de5\u7a0b\u5e2b\u5c07\u66f4\u65e9\u5730\u63a5\u89f8\u5230\u4f7f\u7528\u9019\u4e9b\u77e5\u8b58\u7684\u6a5f\u6703\u3002<\/p>\n\n\n\n

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

\ud83d\udc4aClaude \u7684\u7684 prompting \u6280\u5de7<\/a><\/h3>\n\n\n\n

\u6700\u8fd1 Anthropic \u63a8\u51fa Claude 3.5 Sonnet \u6a21\u578b\uff0c\u5404\u5bb6\u8a55\u6e2c\u8868\u73fe\u883b\u597d\u7684\u3002\u5927\u5bb6\u77e5\u9053\u4e0d\u540c\u6a21\u578b\u7684\u63d0\u793a\u8a5e\u6280\u5de7\u6703\u6709\u9ede\u4e0d\u540c\uff0c\u9019\u88cf\u6211\u60f3\u5206\u4eab Eugene Yan \u5beb\u7684 Prompting Fundamentals and How to Apply them Effectively \u9019\u7bc7\u6587\u7ae0\uff0c\u7b97\u662f\u5c11\u898b\u662f\u91dd\u5c0d Claude \u5beb\u7684 prompting \u7d93\u9a57\u5206\u4eab\u3002  <\/p>\n\n\n\n

\u4ee5\u4e0b\u662f\u6211\u60f3\u5206\u4eab\u7684\u91cd\u9ede:  <\/p>\n\n\n\n

1. \u611b\u7528 XML \u683c\u5f0f\u4f86\u7d50\u69cb\u5316\u8f38\u5165\u8f38\u51fa\uff0c\u53ef\u4ee5\u7cbe\u6e96\u5730\u5728 prompt \u4e2d\u63cf\u8ff0\u54ea\u4e9b\u662f\u8cc7\u6599\u3001\u54ea\u4e9b\u662f\u8b8a\u6578\u3002<\/p>\n\n\n\n

2. Chain-of-Thought (CoT) \u559c\u6b61\u5728 prompt \u88e1\u9762\u7528 <sketchpad> \u4f86\u5305\u88f9\u63a8\u7406\u904e\u7a0b\uff0c\u4f60\u53ef\u4ee5\u7406\u89e3\u9019\u5c31\u662f AI \u7684\u5167\u5728\u601d\u8003\u7b46\u8a18\u672c\u3002<\/p>\n\n\n\n

3. \u8655\u7406\u5e7b\u89ba\uff0c\u9664\u4e86\u8981\u544a\u8a34\u6a21\u578b\u53ef\u4ee5\u56de\u7b54\u4e0d\u77e5\u9053\uff0c\u9084\u53ef\u4ee5\u9032\u4e00\u6b65\u63d0\u793a \u53ea\u5728\u6709\u4fe1\u5fc3\u7684\u60c5\u6cc1\u4e0b\u505a\u56de\u7b54: Only provide an answer if you are highly confident it is factually correct.<\/p>\n\n\n\n

4. few-shot \u7bc4\u4f8b\u7d66 3~5 \u500b\u7b97\u5c11\uff0c\u53ef\u4ee5\u7d66\u5230\u5341\u5e7e\u500b\u4ee5\u4e0a\uff0c\u770b\u4efb\u52d9\u8907\u96dc\u7a0b\u5ea6\u3002  <\/p>\n\n\n\n

5. \u6709\u79ae\u8c8c\u6216\u662f\u60c5\u52d2\u6c92\u7528  <\/p>\n\n\n\n

6. \u53ef\u9810\u5148\u586b\u5beb AI \u56de\u8986\uff0c\u6703\u6587\u5b57\u63a5\u9f8d!  <\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

\u4f60\u53ef\u4ee5\u5728\u6700\u5f8c\u4e00\u500b message \u586b\u5beb assistant \u89d2\u8272\u7684\u56de\u8986\u958b\u982d\uff0c\u9019\u6a23\u6a21\u578b\u56de\u8986\u5c31\u6703\u6587\u5b57\u63a5\u9f8d\u3002<\/p>\n\n\n\n

\u63a5\u9f8d\u5728 Completion API (\u8f38\u5165\u662f prompt \u5b57\u4e32\u6642)\u5f88\u6b63\u5e38\uff0c\u4f46\u662f\u76ee\u524d LLM API \u5404\u5bb6\u90fd\u6539\u7528 Chat API (\u8f38\u5165\u662f messages \u9663\u5217) \u5f8c\u5c31\u6c92\u4eba\u6ce8\u610f\u9019\u9700\u6c42\u4e86\u3002  <\/p>\n\n\n\n

\u4f8b\u5982\u5728 OpenAI API \u4e2d\uff0c\u6700\u5f8c\u4e00\u500b message \u82e5\u653e assistant \u8a0a\u606f\uff0c\u4ed6\u4e0d\u6703\u63a5\u9f8d\uff0c\u800c\u662f\u82e5\u7121\u5176\u4e8b\u7684\u7e7c\u7e8c\u56de\u8986\u3002(Gemini API \u4e5f\u662f\u6c92\u6709\u63a5\u9f8d\u4f5c\u7528) <\/p>\n\n\n\n

\u4f46\u662f\u5728 Claude API \u662f\u6709\u6587\u5b57\u63a5\u9f8d\u6548\u679c\u7684\uff0c\u5982\u679c\u4f60\u7d66 assistant \u8a0a\u606f\uff0c\u90a3\u56de\u8986\u5c31\u6703\u662f\u7e7c\u7e8c\u63a5\u9f8d\u7684 assistant \u8a0a\u606f\u3002\u4f8b\u5982\u9644\u5716\u4e2d\u6545\u610f\u8b93\u958b\u982d\u662f <attribute><name> \u53ef\u5f37\u8feb\u6a21\u578b\u56de\u8986\u5f9e\u9019\u500b\u958b\u982d\u7e7c\u7e8c\uff0c\u9019\u6a23\u7d50\u5c3e\u5c31\u6703\u51fa\u73fe<\/name><\/attribute> \u5594\u3002  <\/p>\n\n\n\n

\u6211\u89ba\u5f97\u9019\u529f\u80fd\u883b pro tip \u7684\uff0c\u5e0c\u671b\u54ea\u4e00\u5929 OpenAI API \u4e5f\u53ef\u4ee5\u9019\u9ebc\u505a\u3002 <\/p>\n\n\n\n

7. \u6eab\u5ea6\u5efa\u8b70\u5f9e 0.8 \u958b\u59cb\uff0c\u7136\u5f8c\u6839\u64da\u6e2c\u8a66\u7d50\u679c\u518d\u964d\u4f4e\u6eab\u5ea6!  <\/p>\n\n\n\n

\u9019\u9ede\u6709\u53cd\u76f4\u89ba\uff0c\u901a\u5e38\u6211\u5011\u78b0\u5230\u4e0d\u662f\u5275\u610f\u958b\u653e\u7684\u4efb\u52d9\uff0c\u5728 API \u4e2d\u90fd\u76f4\u63a5\u7d66\u6eab\u5ea6 0\uff0c\u6c92\u60f3\u5230\u4f5c\u8005\u767c\u73fe\u5982\u679c\u6eab\u5ea6\u592a\u4f4e\uff0c\u6703\u8b93\u6a21\u578b\u8b8a\u5f97\u4e0d\u8070\u660e\u3002  <\/p>\n\n\n\n

\u4e00\u822c\u7684\u7406\u89e3\u662f\u91dd\u5c0d\u6709\u6a19\u6e96\u7b54\u6848\u7684\u78ba\u5b9a\u6027\u4efb\u52d9(\u4f8b\u5982\u55ae\u9078\u984c)\u6703\u5728 API \u4e2d\u7528\u4f4e\u6eab\u5ea6\u3002\u6eab\u5ea6\u82e5\u7d66\u9ad8\uff0c\u6703\u8b93\u6a21\u578b\u56de\u7b54\u592a\u5929\u99ac\u884c\u7a7a\u767c\u6563\uff0c\u56e0\u6b64\u70ba\u4e86\u7372\u5f97\u4e00\u500b\u6700\u78ba\u5b9a\u7684\u7b54\u6848\u6240\u4ee5\u6211\u5011\u5e38\u7528\u6eab\u5ea6 0\u3002\u53ea\u6709\u91dd\u5c0d\u5275\u610f\u6216\u958b\u653e\u6027\u4efb\u52d9\u624d\u6703\u4f7f\u7528\u8f03\u9ad8\u7684\u6eab\u5ea6\uff0c\u9019\u662f\u56e0\u70ba\u6eab\u5ea6 0 \u6bd4\u8f03\u4fdd\u5b88\uff0c\u50be\u5411\u65bc\u9078\u64c7\u6700\u5e38\u898b\u7684\u7c21\u55ae\u56de\u7b54\uff0c\u8f38\u51fa\u7f3a\u4e4f\u591a\u6a23\u6027\u5c0e\u81f4\u8868\u73fe\u986f\u5f97\u50f5\u5316\uff0c\u8b93\u56de\u7b54\u770b\u8d77\u4f86\u4e0d\u5920\u8070\u660e\u548c\u8c50\u5bcc\u3002  <\/p>\n\n\n\n

\u6240\u4ee5\u6211\u770b\u5230\u4f5c\u8005\u9019\u88e1\u5efa\u8b70\u4e0d\u8981\u5f9e 0 \u958b\u59cb\u7528\u883b\u8a1d\u7570\u7684(\u5373\u4f7f\u662f\u78ba\u5b9a\u6027\u4efb\u52d9)\uff0c\u7136\u5f8c\u6709\u4eba\u53bb\u8a55\u6e2c gpt-4o<\/a> \u767c\u73fe\u4e5f\u6709\u9019\u500b\u60c5\u6cc1: \u5728\u6709\u6a19\u6e96\u7b54\u6848\u7684\u4efb\u52d9\u4e0a\uff0c\u6eab\u5ea6 1 \u7684\u6e96\u78ba\u7387\u7adf\u7136\u6bd4\u6eab\u5ea6 0 \u9084\u9ad8\uff0c\u4f46\u540c\u4e00\u4eba\u6e2c\u8a66 llama3-8b \u6642\u537b\u53c8\u6c92\u6709\u9019\u500b\u73fe\u8c61\uff0c\u770b\u4f86\u9019\u4e0d\u662f\u901a\u5247?<\/p>\n\n\n\n

\u7e3d\u4e4b\u6211\u76ee\u524d\u7684\u611f\u60f3\u662f\u6eab\u5ea6 0 \u4e0d\u5fc5\u7136\u662f\u78ba\u5b9a\u6027\u4efb\u52d9\u7684\u6700\u4f73\u89e3\uff0c\u4e5f\u8981\u8a8d\u771f\u7576\u4f5c\u4e00\u500b\u8d85\u53c3\u6578\u4f86\u8dd1\u8a55\u4f30\u8abf\u6574\u3002<\/p>\n\n\n\n

\u9019\u88e1\u4e5f\u5f15\u8ff0\u5c39\u76f8\u5fd7\u8001\u5e2b\u5728\u6211 Facebook \u7559\u8a00<\/a>\u89e3\u91cb: \u300c\u56e0\u70ba\u6eab\u5ea6\u7b49\u65bc\u96f6\u6240\u751f\u6210\u7b54\u6848\u672c\u4f86\u5c31\u4e26\u975e\u662f\u6700\u78ba\u5b9a\u7684\u7b54\u6848\uff0c\u50c5\u662f\u5f9e\u8a5e\u983b\u5c64\u7d1a\u4f86\u770b\u6700\u5fc5\u7136\u7684\u7b54\u6848\uff0c\u800c\u4e14\u6eab\u5ea6\u70ba\u96f6\u6703\u5c0e\u81f4\u601d\u7dad\u93c8\u4ee5\u53ca\u53cd\u601d\u7b49\u884c\u70ba\u6703\u5931\u6548\uff0c\u6240\u4ee5\u6548\u679c\u8b8a\u5dee\u53ef\u4ee5\u9810\u671f\u3002\u300d<\/p>\n\n\n\n

\u6700\u5f8c\u6211\u89ba\u5f97 Claude \u7684 prompting \u98a8\u683c\u5176\u5be6\u66f4 geek \u66f4\u6709\u7d50\u69cb\uff0c\u9019\u8b93\u6211\u6709\u9ede\u60f3\u8f49\u63db\u5c08\u653b\ud83d\ude06<\/p>\n\n\n\n

\ud83d\udc4aGoogle Colab \u5206\u4eab\u7cfb\u5217: \u6211\u6539\u5beb\u7684\u5433\u6069\u9054\u6559\u6388 Agentic \u7ffb\u8b6f\u7a0b\u5f0f<\/a><\/h3>\n\n\n\n

\u4ec0\u9ebc\u662f Agentic \u5462? \u8a71\u8aaa AI “Agent” \u4ee3\u7406\u4eba\u9019\u8a5e\u56e0\u70ba\u6c92\u6709\u516c\u8a8d\u5b9a\u7fa9\uff0c\u5433\u6069\u9054\u6559\u6388\u5728\u524d\u4e00\u9663\u5b50\u7684\u8cbc\u6587<\/a>\u4e2d\u8868\u793a\uff0c\u8207\u5176\u722d\u8ad6\u4e00\u500b\u7cfb\u7d71\u662f\u4e0d\u662f Agent (\u4f8b\u5982\u53ea prompt \u4e00\u6b21\u4e0d\u7b97\u662f agent)\uff0c\u4e0d\u5982\u627f\u8a8d\u6709\u4e0d\u540c\u7a0b\u5ea6\u7684 “Agentic” \u4eba\u5de5\u667a\u6167\u4ee3\u7406\u7a0b\u5ea6\u3002  <\/p>\n\n\n\n

\u7136\u5f8c\uff0c\u4ed6\u767c\u73fe\u96d6\u7136\u61c2\u6280\u8853\u7684\u8ddf\u4e0d\u61c2\u6280\u8853\u7684\u4eba\uff0c\u90fd\u6703\u4f7f\u7528 “Agent” \u4e00\u8a5e\u3002\u4f46\u53ea\u6709\u61c2\u6280\u8853\u7684\u6703\u5beb Agentic (\u76ee\u524d\u662f\u9019\u6a23\u5566) \u3002\u56e0\u6b64\u53ea\u8981\u6587\u7ae0\u662f\u5beb “Agentic” workflows \u6642\uff0c\u4ed6\u66f4\u6709\u53ef\u80fd\u82b1\u6642\u9593\u53bb\u95b1\u8b80\uff0c\u56e0\u70ba\u9019\u6bd4\u8f03\u4e0d\u53ef\u80fd\u662f\u884c\u92b7\u5671\u982d\u6587\u7ae0\uff0c\u800c\u662f\u771f\u6b63\u61c2\u6280\u8853\u7684\u4eba\u5beb\u7684….. \ud83d\ude06<\/p>\n\n\n\n

\u8fd1\u671f\u5433\u6069\u9054\u6559\u6388\u9084\u5beb\u4e86\u4e00\u500b “Agentic translation using reflection workflow<\/a>” \u4f7f\u7528\u53cd\u601d\u6d41\u7a0b\u7684\u4eba\u5de5\u667a\u6167\u7ffb\u8b6f\u7a0b\u5f0f\uff0c\u539f\u7406\u6b65\u9a5f\u5982\u4e0b: <\/p>\n\n\n\n

1. \u5148\u7528 LLM \u505a\u7b2c\u4e00\u6b21\u7ffb\u8b6f
2. \u7528 LLM \u53cd\u601d\u525b\u525b\u7684\u7b2c\u4e00\u6b21\u7ffb\u8b6f\u7d50\u679c
3. \u6839\u64da\u53cd\u601d\u7d50\u679c\uff0c\u7528 LLM \u7ffb\u8b6f\u7b2c\u4e8c\u6b21<\/p>\n\n\n\n

\u4ed6\u539f\u7248\u9700\u8981\u5728\u672c\u6a5f\u57f7\u884c Python\uff0c\u6211\u6539\u5beb\u6210\u7c21\u55ae\u7684 Google Colab<\/a> \u66f4\u597d\u4e0a\u624b\uff0c\u53ef\u4ee5\u7acb\u5373\u57f7\u884c\u770b\u5230\u4ed6\u7684 prompt \u662f\u600e\u9ebc\u4e32\u63a5\u53ca\u57f7\u884c\u904e\u7a0b\u3002\u6211\u4e5f\u6539\u7528 LiteLLM \u5957\u4ef6\u4f86\u505a API \u547c\u53eb\uff0c\u56e0\u6b64\u5f88\u5feb\u53ef\u4ee5\u5207\u63db\u6210\u4e0d\u540c\u6a21\u578b\u3002<\/p>\n\n\n\n

\u9019\u500b Python \u7a0b\u5f0f\u78bc\u5176\u5be6\u4e0d\u96e3:<\/p>\n\n\n\n

– \u6709\u4e00\u500b\u901a\u7528\u7684 get_completion function \u7528\u4f86\u547c\u53eb OpenAI API
– \u4e0a\u8ff0\u7684\u4e09\u500b\u6b65\u9a5f\uff0c\u5206\u5225\u5b9a\u7fa9\u4e86\u4e09\u500b function
– \u6700\u5f8c\u6709\u500b one_chunk_translate_text function \u5c07\u4e0a\u8ff0\u4e09\u500b functions \u4f9d\u5e8f\u4e32\u63a5\u5728\u4e00\u8d77<\/p>\n\n\n\n

\u9019\u5c31\u662f\u500b <del>prompt chaining \u800c\u5df2<\/del> Agentic workflow \u56c9! \u9069\u5408\u60f3\u8981\u7cbe\u96d5\u7d30\u7422\u7684\u7ffb\u8b6f\u5834\u666f\u3002 <\/p>\n\n\n\n

\u9019\u8b93\u6211\u60f3\u8d77\u5433\u6069\u9054\u6559\u6388\u5728 INSIDE \u5c08\u8a2a<\/a>\u4e2d\u7684\u9019\u4e00\u6bb5 QA: <\/p>\n\n\n\n

Q\uff1a\u96a8\u8457\u81ea\u7136\u8a9e\u8a00 AI \u7e7c\u7e8c\u767c\u5c55\u4e0b\u53bb\uff0c\u5beb\u7a0b\u5f0f\u7684\u80fd\u529b\u662f\u5426\u4ecd\u7136\u91cd\u8981\u5462\uff1f
A\uff1a\u7576\u7136\u91cd\u8981\u3002\u5982\u679c\u4f60\u6709\u5beb\u7a0b\u5f0f\u80fd\u529b \uff0c\u4e14\u61c2\u600e\u9ebc\u4e0b prompt \u7d66 LLM\uff0c\u90a3\u80fd\u505a\u7684\u4e8b\u5c31\u66f4\u591a\u4e86\uff01\u4f60\u5c07\u5927\u5e45\u64f4\u5c55\u4f7f\u7528 LLM \u53ef\u4ee5\u505a\u5230\u7684\u4e8b\u3002<\/p>\n\n\n\n

—<\/p>\n\n\n\n

One More Thing\uff0c\u518d\u8b1b\u4e00\u500b\u53f0\u7063 AI \u754c\u7684\u5927\u6d88\u606f\u662f Project TAME \u7e41\u4e2d\u5c08\u5bb6\u6a21\u578b<\/a> Llama-3-Taiwan-70B \u958b\u6e90\u91cb\u51fa\u5566\uff0c\u9019\u4e00\u500b\u57fa\u65bc Llama-3 70B \u505a\u7e7c\u7e8c\u9810\u8a13\u7df4(Continue-Pretraining) \u548c\u5fae\u8abf\u7684\u5927\u6a21\u578b\uff0c\u7531\u53f0\u5927\u8cc7\u5de5\u3001\u4e9e\u592a\u667a\u80fd\u6a5f\u5668 APMIC \u548c\u591a\u5bb6\u4f01\u696d\u5925\u4f34\u958b\u767c\u5718\u968a\u5171\u540c\u5408\u4f5c\uff0c\u4f7f\u7528 NVIDIA \u958b\u767c\u8005\u8a08\u756b\u6280\u8853\u652f\u6301\uff0c\u91dd\u5c0d\u53f0\u7063\u7e41\u9ad4\u4e2d\u6587\u8a9e\u6599\uff0c\u8a13\u7df4\u51fa\u4f86\u7684\u7e41\u4e2d\u5927\u578b\u8a9e\u8a00\u5c08\u5bb6\u6a21\u578b \ud83c\udf89\ud83c\udf89<\/p>\n\n\n\n

\u2013 ihower<\/p>\n","protected":false},"excerpt":{"rendered":"

Hello! \u4f60\u597d \ud83d\udc4b \u6211\u662f ihower\uff0c\u8fd1\u671f\u5168\u7403 AI \u5de5\u7a0b\u5e2b\u6700\u95dc\u5fc3\u7684\u4e8b\u60c5\uff0c\u5c31\u662f\u5728\u820a\u91d1\u5c71\u7684&nb … <\/p>\n

\u95b1\u8b80\u5168\u6587\u3008\u611b\u597d AI Engineer \u96fb\u5b50\u5831 \ud83d\ude80\u00a0AI Engineer World’s Fair \u5927\u6703 #14\u3009<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[91],"tags":[],"class_list":["post-12161","post","type-post","status-publish","format-standard","hentry","category-aie","entry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p1q6tG-3a9","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/comments?post=12161"}],"version-history":[{"count":3,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12161\/revisions"}],"predecessor-version":[{"id":13019,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12161\/revisions\/13019"}],"wp:attachment":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/media?parent=12161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/categories?post=12161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/tags?post=12161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}