{"id":1561,"date":"2024-05-22T13:39:28","date_gmt":"2024-05-22T13:39:28","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1561"},"modified":"2024-05-22T13:39:34","modified_gmt":"2024-05-22T13:39:34","slug":"duolunduihuazhongrangaibaochizhangqijiyide8zhongyouhuafangshifuanlihedai","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/duolunduihuazhongrangaibaochizhangqijiyide8zhongyouhuafangshifuanlihedai.html","title":{"rendered":"\u591a\u8f6e\u5bf9\u8bdd\u4e2d\u8ba9AI\u4fdd\u6301\u957f\u671f\u8bb0\u5fc6\u76848\u79cd\u4f18\u5316\u65b9\u5f0f\uff08\u9644\u6848\u4f8b\u548c\u4ee3\u7801\uff09"},"content":{"rendered":"
\n

\u5728\u4e0a\u7bc7\u6587\u7ae0<\/a>\u4e2d\u63d0\u5230\u5173\u4e8e\u5728 AI \u52a9\u624b\u4ea7\u54c1\u6784\u5efa\u4e2d\u7684\u957f\u8bb0\u5fc6\u95ee\u9898\uff0c\u8fd9\u7bc7\u8be6\u7ec6\u8ba8\u8bba\u4e0b\u3002\u5728\u4efb\u4f55\u5bf9\u8bdd\u4e2d\uff0c\u65e0\u8bba\u662f\u4eba\u4e0e\u4eba\u8fd8\u662f\u4eba\u4e0e\u673a\u5668\u4eba\u4e4b\u95f4\uff0c\u56de\u5fc6\u8fc7\u53bb\u7684\u4fe1\u606f\u90fd\u81f3\u5173\u91cd\u8981\uff0c\u8bb0\u5fc6\u7cfb\u7edf\u4e0d\u4ec5\u5305\u62ec\u4ee5\u524d\u7684\u6d88\u606f\u5217\u8868\uff0c\u5b83\u8fd8\u5e94\u8be5\u662f\u7406\u89e3\u548c\u7ef4\u62a4\u4e00\u4e2a\u5305\u542b\u5404\u79cd\u5b9e\u4f53\u53ca\u5176\u5173\u7cfb\u4fe1\u606f\u7684\u52a8\u6001\u4e16\u754c\u6a21\u578b\uff0c\u8fd9\u7bc7\u6587\u7ae0\u5206\u4eab\u4e0b\u5728\u591a\u8f6e\u5bf9\u8bdd\u4e2d\u5b9e\u73b0\u957f\u671f\u8bb0\u5fc6\u4fdd\u6301\u7684 8 \u79cd\u65b9\u5f0f\uff0c\u6b22\u8fce\u4e00\u8d77\u63a2\u8ba8\u3002<\/p>\n<\/blockquote>\n

\u5728\u57fa\u4e8e\u5927\u6a21\u578b\u7684 Agent \u4e2d\uff0c\u957f\u671f\u8bb0\u5fc6\u7684\u72b6\u6001\u7ef4\u62a4\u81f3\u5173\u91cd\u8981\uff0c\u5728 OpenAI AI \u5e94\u7528\u7814\u7a76\u4e3b\u7ba1 Lilian Weng \u7684\u535a\u5ba2\u300a\u57fa\u4e8e\u5927\u6a21\u578b\u7684 Agent \u6784\u6210\u300b<\/a>\u4e2d\uff0c\u5c06\u8bb0\u5fc6\u89c6\u4e3a\u5173\u952e\u7684\u7ec4\u4ef6\u4e4b\u4e00\uff0c\u4e0b\u9762\u6211\u5c06\u7ed3\u5408 LangChain \u4e2d\u7684\u4ee3\u7801\uff0c8 \u79cd\u4e0d\u540c\u7684\u8bb0\u5fc6\u7ef4\u62a4\u65b9\u5f0f\u5728\u4e0d\u540c\u573a\u666f\u4e2d\u7684\u5e94\u7528\u3002<\/p>\n

\n

\"\u57fa\u4e8e\u5927\u6a21\u578b\u7684Agent\u6784\u6210\"<\/figure>\n<\/p>\n

1. \u83b7\u53d6\u5168\u91cf\u5386\u53f2\u5bf9\u8bdd<\/h3>\n

\u4e00\u822c\u5ba2\u670d\u573a\u666f<\/strong><\/p>\n

\u5728\u7535\u4fe1\u516c\u53f8\u7684\u5ba2\u670d\u804a\u5929\u673a\u5668\u4eba\u573a\u666f\u4e2d\uff0c\u5982\u679c\u7528\u6237\u5728\u5bf9\u8bdd\u4e2d\u5148\u662f\u8be2\u95ee\u4e86\u8d26\u5355\u95ee\u9898\uff0c\u63a5\u7740\u53c8\u8c08\u5230\u4e86\u7f51\u7edc\u8fde\u63a5\u95ee\u9898\uff0cConversationBufferMemory \u53ef\u4ee5\u7528\u6765\u8bb0\u4f4f\u6574\u4e2a\u4e0e\u7528\u6237\u7684\u5bf9\u8bdd\u5386\u53f2\uff0c\u53ef\u4ee5\u5e2e\u52a9 AI \u5728\u56de\u7b54\u7f51\u7edc\u95ee\u9898\u65f6\u8fd8\u8bb0\u5f97\u8d26\u5355\u95ee\u9898\u7684\u76f8\u5173\u7ec6\u8282\uff0c\u4ece\u800c\u63d0\u4f9b\u66f4\u8fde\u8d2f\u7684\u670d\u52a1\u3002<\/p>\n

<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.memory import<\/span> ConversationBufferMemory<\/span>\nmemory = ConversationBufferMemory()<\/span>\nmemory.save_context({\"input\"<\/span>: \"\u4f60\u597d\"<\/span>}, {\"output\"<\/span>: \"\u600e\u4e48\u4e86\"<\/span>})<\/span>\n<\/span>\nvariables = memory.load_memory_variables({})<\/span>\n<\/code><\/pre>\n
2. \u6ed1\u52a8\u7a97\u53e3\u83b7\u53d6\u6700\u8fd1\u90e8\u5206\u5bf9\u8bdd\u5185\u5bb9<\/h3>\n
\u5546\u54c1\u54a8\u8be2\u573a\u666f<\/strong><\/p>\n
\u5728\u4e00\u4e2a\u7535\u5546\u5e73\u53f0\u4e0a\uff0c\u5982\u679c\u7528\u6237\u8be2\u95ee\u5173\u4e8e\u7279\u5b9a\u4ea7\u54c1\u7684\u95ee\u9898\uff08\u5982\u624b\u673a\u7684\u7535\u6c60\u7eed\u822a\u65f6\u95f4\uff09\uff0c\u7136\u540e\u53c8\u95ee\u5230\u4e86\u914d\u9001\u65b9\u5f0f\uff0cConversationBufferWindowMemory \u53ef\u4ee5\u5e2e\u52a9 AI \u53ea\u4e13\u6ce8\u4e8e\u6700\u8fd1\u7684\u4e00\u4e24\u4e2a\u95ee\u9898\uff08\u5982\u914d\u9001\u65b9\u5f0f\uff09\uff0c\u800c\u4e0d\u662f\u6574\u4e2a\u5bf9\u8bdd\u5386\u53f2\uff0c\u4ee5\u63d0\u4f9b\u66f4\u5feb\u901f\u548c\u4e13\u6ce8\u7684\u7b54\u590d\u3002<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.memory import<\/span> ConversationBufferWindowMemory<\/span>\n<\/span>\n# \u53ea\u4fdd\u7559\u6700\u540e1\u6b21\u4e92\u52a8\u7684\u8bb0\u5fc6<\/span><\/span>\nmemory = ConversationBufferWindowMemory(k=1<\/span>)<\/span>\n<\/code><\/pre>\n
3. \u83b7\u53d6\u5386\u53f2\u5bf9\u8bdd\u4e2d\u5b9e\u4f53\u4fe1\u606f<\/h3>\n
\u6cd5\u5f8b\u54a8\u8be2\u573a\u666f<\/strong><\/p>\n
\u5728\u6cd5\u5f8b\u54a8\u8be2\u7684\u573a\u666f\u4e2d\uff0c\u5ba2\u6237\u53ef\u80fd\u4f1a\u63d0\u5230\u7279\u5b9a\u7684\u6848\u4ef6\u540d\u79f0\u3001\u76f8\u5173\u6cd5\u5f8b\u6761\u6b3e\u6216\u4e2a\u4eba\u4fe1\u606f\uff08\u5982\u201c\u6211\u5728\u53bb\u5e74\u7684\u4ea4\u901a\u4e8b\u6545\u4e2d\u53d7\u4e86\u4f24\uff0c\u60f3\u4e86\u89e3\u5173\u4e8e\u8d54\u507f\u7684\u6cd5\u5f8b\u5efa\u8bae\u201d\uff09\u3002ConversationEntityMemory \u53ef\u4ee5\u5e2e\u52a9 AI \u8bb0\u4f4f\u8fd9\u4e9b\u5173\u952e\u5b9e\u4f53\u548c\u5b9e\u4f53\u5173\u7cfb\u7ec6\u8282\uff0c\u4ece\u800c\u5728\u6574\u4e2a\u5bf9\u8bdd\u8fc7\u7a0b\u4e2d\u63d0\u4f9b\u66f4\u51c6\u786e\u3001\u66f4\u4e2a\u6027\u5316\u7684\u6cd5\u5f8b\u5efa\u8bae\u3002<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>llm = ChatOpenAI(model=\"gpt-3.5-turbo\"<\/span>, temperature=0<\/span>)<\/span>\nmemory = ConversationEntityMemory(llm=llm)<\/span>\n_input<\/span> = {\"input\"<\/span>: \"\u516c\u4f17\u53f7\u300aLLM\u5e94\u7528\u5168\u6808\u5f00\u53d1\u300b\u7684\u4f5c\u8005\u662f\u83ab\u5c14\u7d22\"<\/span>}<\/span>\nmemory.load_memory_variables(_input<\/span>)<\/span>\nmemory.save_context(<\/span>\n    _input<\/span>,<\/span>\n    {\"output\"<\/span>: \"\u662f\u5417\uff0c\u8fd9\u4e2a\u516c\u4f17\u53f7\u662f\u5e72\u561b\u7684\"<\/span>}<\/span>\n)<\/span>\nprint<\/span>(memory.load_memory_variables({\"input\"<\/span>: \"\u83ab\u5c14\u7d22\u662f\u8c01\uff1f\"<\/span>}))<\/span>\n# \u8f93\u51fa\uff0c\u53ef\u4ee5\u770b\u5230\u63d0\u53d6\u4e86\u5b9e\u4f53\u5173\u7cfb<\/span><\/span>\n{'history'<\/span>: 'Human: \u516c\u4f17\u53f7\u300aLLM\u5e94\u7528\u5168\u6808\u5f00\u53d1\u300b\u7684\u4f5c\u8005\u662f\u83ab\u5c14\u7d22 n AI: \u662f\u5417\uff0c\u8fd9\u4e2a\u516c\u4f17\u53f7\u662f\u5e72\u561b\u7684'<\/span>,<\/span>\n'entities'<\/span>: {'\u83ab\u5c14\u7d22'<\/span>: '\u300aLLM\u5e94\u7528\u5168\u6808\u5f00\u53d1\u300b\u7684\u4f5c\u8005\u3002'<\/span>}}<\/span>\n<\/span>\n<\/code><\/pre>\n
4. \u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u83b7\u53d6\u5386\u53f2\u5bf9\u8bdd\u4e2d\u7684\u5b9e\u4f53\u53ca\u5176\u8054\u7cfb<\/h3>\n
\u533b\u7597\u54a8\u8be2\u573a\u666f<\/strong><\/p>\n
\u5728\u533b\u7597\u54a8\u8be2\u4e2d\uff0c\u4e00\u4e2a\u75c5\u4eba\u53ef\u80fd\u4f1a\u63cf\u8ff0\u591a\u4e2a\u75c7\u72b6\u548c\u8fc7\u53bb\u7684\u533b\u7597\u5386\u53f2\uff08\u5982\u201c\u6211\u6709\u7cd6\u5c3f\u75c5\u53f2\uff0c\u6700\u8fd1\u89c9\u5f97\u7ecf\u5e38\u53e3\u6e34\u548c\u75b2\u52b3\u201d\uff09\u3002ConversationKGMemory \u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u5305\u542b\u75c5\u4eba\u75c7\u72b6\u3001\u75be\u75c5\u5386\u53f2\u548c\u53ef\u80fd\u7684\u5065\u5eb7\u5173\u8054\u7684\u77e5\u8bc6\u56fe\u8c31\uff0c\u4ece\u800c\u5e2e\u52a9 AI \u63d0\u4f9b\u66f4\u5168\u9762\u548c\u6df1\u5165\u7684\u533b\u7597\u5efa\u8bae\u3002<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.memory import<\/span> ConversationKGMemory<\/span>\nfrom<\/span> langchain.llms import<\/span> OpenAI<\/span>\nllm = OpenAI(temperature=0<\/span>)<\/span>\nmemory = ConversationKGMemory(llm=llm)<\/span>\nmemory.save_context({\"input\"<\/span>: \"\u5c0f\u674e\u662f\u7a0b\u5e8f\u5458\"<\/span>}, {\"output\"<\/span>: \"\u77e5\u9053\u4e86\uff0c\u5c0f\u674e\u662f\u7a0b\u5e8f\u5458\"<\/span>})<\/span>\nmemory.save_context({\"input\"<\/span>: \"\u83ab\u5c14\u7d22\u662f\u5c0f\u674e\u7684\u7b14\u540d\"<\/span>}, {\"output\"<\/span>: \"\u660e\u767d\uff0c\u83ab\u5c14\u7d22\u662f\u5c0f\u674e\u7684\u7b14\u540d\"<\/span>})<\/span>\n<\/span>\nvariables = memory.load_memory_variables({\"input\"<\/span>: \"\u544a\u8bc9\u6211\u5173\u4e8e\u5c0f\u674e\u7684\u4fe1\u606f\"<\/span>})<\/span>\nprint<\/span>(variables)<\/span>\n# \u8f93\u51fa<\/span><\/span>\n{'history'<\/span>: 'On \u5c0f\u674e: \u5c0f\u674e is \u7a0b\u5e8f\u5458. \u5c0f\u674e \u7684\u7b14\u540d \u83ab\u5c14\u7d22.'<\/span>}<\/span>\n<\/code><\/pre>\n
5. \u5bf9\u5386\u53f2\u5bf9\u8bdd\u8fdb\u884c\u9636\u6bb5\u6027\u603b\u7ed3\u6458\u8981<\/h3>\n
\u6559\u80b2\u8f85\u5bfc\u573a\u666f<\/strong><\/p>\n
\u5728\u4e00\u7cfb\u5217\u7684\u6559\u80b2\u8f85\u5bfc\u5bf9\u8bdd\u4e2d\uff0c\u5b66\u751f\u53ef\u80fd\u4f1a\u63d0\u51fa\u4e0d\u540c\u7684\u6570\u5b66\u95ee\u9898\u6216\u7406\u89e3\u96be\u9898\uff08\u5982\u201c\u6211\u4e0d\u592a\u7406\u89e3\u4e8c\u6b21\u65b9\u7a0b\u7684\u6c42\u89e3\u65b9\u6cd5\u201d\uff09\u3002ConversationSummaryMemory \u53ef\u4ee5\u5e2e\u52a9 AI \u603b\u7ed3\u4e4b\u524d\u7684\u8f85\u5bfc\u5185\u5bb9\u548c\u5b66\u751f\u7684\u7591\u95ee\u70b9\uff0c\u4ee5\u4fbf\u5728\u968f\u540e\u7684\u8f85\u5bfc\u4e2d\u63d0\u4f9b\u66f4\u9488\u5bf9\u6027\u7684\u89e3\u91ca\u548c\u7ec3\u4e60<\/p>\n
6. \u9700\u8981\u83b7\u53d6\u6700\u65b0\u5bf9\u8bdd\uff0c\u53c8\u8981\u517c\u987e\u8f83\u65e9\u5386\u53f2\u5bf9\u8bdd<\/h3>\n
\u6280\u672f\u652f\u6301\u573a\u666f<\/strong><\/p>\n
\u5728\u5904\u7406\u4e00\u4e2a\u957f\u671f\u7684\u6280\u672f\u95ee\u9898\u65f6\uff08\u5982\u8f6f\u4ef6\u6545\u969c\u6392\u67e5\uff09\uff0c\u7528\u6237\u53ef\u80fd\u4f1a\u5728\u591a\u6b21\u5bf9\u8bdd\u4e2d\u63d0\u4f9b\u4e0d\u540c\u7684\u9519\u8bef\u4fe1\u606f\u548c\u53cd\u9988\u3002ConversationSummaryBufferMemory \u53ef\u4ee5\u5e2e\u52a9 AI \u4fdd\u7559\u6700\u8fd1\u51e0\u6b21\u4ea4\u4e92\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u540c\u65f6\u63d0\u4f9b\u5386\u53f2\u95ee\u9898\u5904\u7406\u7684\u6458\u8981\uff0c\u4ee5\u4fbf\u4e8e\u66f4\u6709\u6548\u5730\u8bc6\u522b\u548c\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n
7. \u56de\u6eaf\u6700\u8fd1\u548c\u6700\u5173\u952e\u7684\u5bf9\u8bdd\u4fe1\u606f<\/h3>\n
\u91d1\u878d\u54a8\u8be2\u573a\u666f<\/strong><\/p>\n
\u5728\u91d1\u878d\u54a8\u8be2\u804a\u5929\u673a\u5668\u4eba\u4e2d\uff0c\u5ba2\u6237\u53ef\u80fd\u4f1a\u63d0\u51fa\u591a\u4e2a\u95ee\u9898\uff0c\u6d89\u53ca\u6295\u8d44\u3001\u5e02\u573a\u52a8\u6001\u6216\u4e2a\u4eba\u8d22\u52a1\u89c4\u5212\uff08\u5982\u201c\u6211\u60f3\u4e86\u89e3\u80a1\u5e02\u6700\u8fd1\u7684\u8d8b\u52bf\u4ee5\u53ca\u5982\u4f55\u5206\u914d\u6211\u7684\u6295\u8d44\u7ec4\u5408\u201d\uff09\u3002ConversationTokenBufferMemory \u53ef\u4ee5\u5e2e\u52a9 AI \u805a\u7126\u4e8e\u6700\u8fd1\u548c\u6700\u5173\u952e\u7684\u51e0\u4e2a\u95ee\u9898\uff0c\u540c\u65f6\u907f\u514d\u7531\u4e8e\u8bb0\u5fc6\u8fc7\u591a\u800c\u5bfc\u81f4\u7684\u4fe1\u606f\u6df7\u6dc6\u3002<\/p>\n
8. \u57fa\u4e8e\u5411\u91cf\u68c0\u7d22\u5bf9\u8bdd\u4fe1\u606f<\/h3>\n
\u4e86\u89e3\u6700\u65b0\u65b0\u95fb\u4e8b\u4ef6<\/strong><\/p>\n
\u7528\u6237\u53ef\u80fd\u4f1a\u5bf9\u7279\u5b9a\u65b0\u95fb\u4e8b\u4ef6\u63d0\u51fa\u95ee\u9898\uff0c\u5982\u201c\u6700\u8fd1\u7684\u7ecf\u6d4e\u5cf0\u4f1a\u6709\u4ec0\u4e48\u91cd\u8981\u51b3\u7b56\uff1f\u201d VectorStoreRetrieverMemory \u80fd\u591f\u5feb\u901f\u4ece\u5927\u91cf\u5386\u53f2\u65b0\u95fb\u6570\u636e\u4e2d\u68c0\u7d22\u51fa\u4e0e\u5f53\u524d\u95ee\u9898\u6700\u76f8\u5173\u7684\u4fe1\u606f\uff0c\u5373\u4f7f\u8fd9\u4e9b\u4fe1\u606f\u5728\u6574\u4e2a\u5bf9\u8bdd\u5386\u53f2\u4e2d\u4e0d\u662f\u6700\u65b0\u7684\uff0c\u4e5f\u80fd\u63d0\u4f9b\u53ca\u65f6\u51c6\u786e\u7684\u80cc\u666f\u4fe1\u606f\u548c\u8be6\u7ec6\u62a5\u9053\u3002<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>vectorstore = Chroma(embedding_function=OpenAIEmbeddings())<\/span>\nretriever = vectorstore.as_retriever(search_kwargs=dict<\/span>(k=1<\/span>))<\/span>\nmemory = VectorStoreRetrieverMemory(retriever=retriever)<\/span>\n<\/span>\nmemory.save_context({\"input\"<\/span>: \"\u6211\u559c\u6b22\u5403\u706b\u9505\"<\/span>}, {\"output\"<\/span>: \"\u542c\u8d77\u6765\u5f88\u597d\u5403\"<\/span>})<\/span>\nmemory.save_context({\"input\"<\/span>: \"\u6211\u4e0d\u559c\u6b22\u770b\u6454\u8de4\u6bd4\u8d5b\"<\/span>}, {\"output\"<\/span>: \"\u6211\u4e5f\u662f\"<\/span>})<\/span>\n<\/span>\nPROMPT_TEMPLATE = \"\"\"\u4ee5\u4e0b\u662f\u4eba\u7c7b\u548c AI \u4e4b\u95f4\u7684\u53cb\u597d\u5bf9\u8bdd\u3002AI \u8bdd\u8bed\u591a\u4e14\u63d0\u4f9b\u4e86\u8bb8\u591a\u6765\u81ea\u5176\u4e0a\u4e0b\u6587\u7684\u5177\u4f53\u7ec6\u8282\u3002\u5982\u679c AI \u4e0d\u77e5\u9053\u95ee\u9898\u7684\u7b54\u6848\uff0c\u5b83\u4f1a\u8bda\u5b9e\u5730\u8bf4\u4e0d\u77e5\u9053\u3002<\/span><\/span>\n<\/span>\n\u4ee5\u524d\u5bf9\u8bdd\u7684\u76f8\u5173\u7247\u6bb5\uff1a<\/span>\n{history}<\/span>\n<\/span>\n\uff08\u5982\u679c\u4e0d\u76f8\u5173\uff0c\u4f60\u4e0d\u9700\u8981\u4f7f\u7528\u8fd9\u4e9b\u4fe1\u606f\uff09<\/span>\n<\/span>\n\u5f53\u524d\u5bf9\u8bdd\uff1a<\/span>\n\u4eba\u7c7b\uff1a{input}<\/span>\nAI\uff1a<\/span>\n\"\"\"<\/span>\n<\/span>\nprompt = PromptTemplate(input_variables=[\"history\"<\/span>, \"input\"<\/span>], template=PROMPT_TEMPLATE)<\/span>\nconversation_with_summary = ConversationChain(<\/span>\n    llm=llm,<\/span>\n    prompt=prompt,<\/span>\n    memory=memory,<\/span>\n    verbose=True<\/span><\/span>\n)<\/span>\n<\/span>\nprint<\/span>(conversation_with_summary.predict(input<\/span>=\"\u4f60\u597d\uff0c\u6211\u662f\u83ab\u5c14\u7d22\uff0c\u4f60\u53eb\u4ec0\u4e48\"<\/span>))<\/span>\nprint<\/span>(conversation_with_summary.predict(input<\/span>=\"\u6211\u559c\u6b22\u7684\u98df\u7269\u662f\u4ec0\u4e48\uff1f\"<\/span>))<\/span>\nprint<\/span>(conversation_with_summary.predict(input<\/span>=\"\u6211\u63d0\u5230\u4e86\u54ea\u4e9b\u8fd0\u52a8\uff1f\"<\/span>))<\/span>\n<\/code><\/pre>\n
\u6211\u521b\u5efa\u4e86\u3010AI \u4ea7\u54c1<\/strong>\u3011\u548c\u3010AI \u5f00\u53d1<\/strong>\u3011\u4ea4\u6d41\u7fa4\uff0c\u7528\u4e8e AI \u4ea7\u54c1\u6784\u5efa\u548c\u5206\u4eab\u4ea4\u6d41\uff0c\u7fa4\u5185\u6c1b\u56f4\u4e0d\u9519\uff0c\u5982\u679c\u4f60\u8d1f\u8d23\u7684\u5de5\u4f5c\u548c\u8fd9\u4e2a\u9886\u57df\u5f3a\u76f8\u5173\u5e76\u4e14\u611f\u5174\u8da3\uff0c\u6b22\u8fce\u5728\u516c\u4f17\u53f7\u540e\u53f0\u56de\u590d \u3010\u5165\u7fa4<\/strong>\u3011\u52a0\u5165\u4ea4\u6d41 \uff0c\u52a1\u5fc5\u5907\u6ce8\u5165\u7fa4\u4fe1\u606f\uff0c\u5426\u5219\u4e0d\u4e88\u901a\u8fc7\uff01<\/strong><\/p>\n
\u5982\u679c\u89c9\u5f97\u5185\u5bb9\u4e0d\u9519\uff0c\u6b22\u8fce \u8ba2\u9605\u90ae\u4ef6\u548cRSS<\/a>\uff0c\u8f6c\u53d1\u6587\u7ae0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"
\u5728\u57fa\u4e8e\u5927\u6a21\u578b\u7684 Agent \u4e2d\uff0c\u957f\u671f\u8bb0\u5fc6\u7684\u72b6\u6001\u7ef4\u62a4\u81f3\u5173\u91cd\u8981\uff0c\u5728 OpenAI AI \u5e94\u7528\u7814\u7a76\u4e3b\u7ba1 Lilian Weng \u7684\u535a\u5ba2\u300a\u57fa\u4e8e\u5927\u6a21\u578b\u7684 Agent \u6784\u6210\u300b\u4e2d\uff0c\u5c06\u8bb0\u5fc6\u89c6\u4e3a\u5173\u952e\u7684\u7ec4\u4ef6\u4e4b\u4e00\uff0c\u4e0b\u9762\u6211\u5c06<\/p>\n","protected":false},"author":1,"featured_media":11132,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","views":"18","footnotes":""},"categories":[3],"tags":[128,129,136,126,127],"collection":[],"class_list":["post-1561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fenlei2","tag-128","tag-129","tag-136","tag-gpt","tag-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/comments?post=1561"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media\/11132"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1561"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}