{"id":14059,"date":"2024-09-30T23:56:05","date_gmt":"2024-09-30T15:56:05","guid":{"rendered":"http:\/\/999.zuizhuai.cn\/?p=14059"},"modified":"2024-12-28T21:08:20","modified_gmt":"2024-12-28T13:08:20","slug":"%e6%89%8b%e6%8a%8a%e6%89%8b%e5%b8%a6%e4%bd%a0%e6%90%ad%e5%bb%ba%e4%b8%80%e4%b8%aa%e8%af%ad%e9%9f%b3%e5%af%b9%e8%af%9d%e6%9c%ba%e5%99%a8%e4%ba%ba%ef%bc%8c%e8%bd%bb%e6%9d%be%e5%ae%9a%e5%88%b6%e4%b8%aa","status":"publish","type":"post","link":"http:\/\/puo.cn\/?p=14059","title":{"rendered":"\u624b\u628a\u624b\u5e26\u4f60\u642d\u5efa\u4e00\u4e2a\u8bed\u97f3\u5bf9\u8bdd\u673a\u5668\u4eba\uff0c\u8f7b\u677e\u5b9a\u5236\u4e2a\u4ebaAI\u5c0f\u52a9\u624b\uff08\u65b0\u624b\u5165\u95e8\u7bc7\uff09"},"content":{"rendered":"
\n

\"20241228210756408\"<\/p>\n

\u7334\u54e5\u7684\u7b2c\u00a09\u00a0<\/strong>\u671f\u5206\u4eab\uff0c\u6b22\u8fce\u8ffd\u770b<\/span><\/p>\n

\u5168\u65873227\u5b57
\n<\/span><\/p>\n

\u9884\u8ba1\u9605\u8bfb\u65f6\u95f48\u5206\u949f<\/span><\/p>\n

\u5982\u679c\u4f60\u7684\u8eab\u8fb9\u6709\u4e00\u4e2a\u968f\u65f6\u5f85\u547d\u3001\u806a\u660e\u7edd\u9876\u7684AI\u5c0f\u52a9\u624b\uff0c\u80fd\u591f\u542c\u61c2\u4f60\u7684\u8bdd\uff0c\u7406\u89e3\u4f60\u7684\u9700\u6c42\uff0c\u7528\u6e29\u6696\u7684\u58f0\u97f3\u56de\u5e94\u4f60\uff0c\u4f1a\u662f\u4e00\u79cd\u4ec0\u4e48\u4f53\u9a8c\uff1f<\/p>\n

\u4eca\u5929\uff0c\u5e26\u5927\u5bb6\u4e00\u8d77\u642d\u5efa\u4e00\u4e2a\u8bed\u97f3\u5bf9\u8bdd\u673a\u5668\u4eba\uff0c\u62e5\u6709\u4e00\u4e2a\u4e13\u5c5e\u7684\u4e2a\u4ebaAI\u5c0f\u52a9\u624b\u3002<\/p>\n

\u672c\u6587\u9762\u5411\u6280\u672f\u5c0f\u767d\uff0c\u4ee5\u6700\u901a\u4fd7\u6613\u61c2\u7684\u8bed\u8a00\uff0c\u6700\u8d34\u5fc3\u7684\u6b65\u9aa4\u6307\u5bfc\uff0c\u786e\u4fdd\u4f60\u80fd\u591f\u8f7b\u677e\u4e0a\u624b\uff0c\u5feb\u901f\u638c\u63e1\u3002<\/p>\n

\u8bed\u97f3\u5bf9\u8bdd\u7cfb\u7edf\u7684\u57fa\u672c\u7ec4\u6210\u6709\u54ea\u4e9b\uff1f<\/span><\/h3>\n

\u4e00\u4e2a\u53ef\u4ee5\u5b9e\u73b0\u8bed\u97f3\u5bf9\u8bdd\u7684\u673a\u5668\u4eba\uff0c\u901a\u5e38\u9700\u8981\u7531\u786c\u4ef6\u548c\u8f6f\u4ef6\u6784\u6210\uff0c\u786c\u4ef6\u53ef\u4ee5\u7406\u89e3\u4e3a\u673a\u5668\u4eba\u7684\u8eaf\u4f53\u3002<\/p>\n

\u672c\u7bc7\u4e3b\u8981\u6765\u804a\u804a\u8bed\u97f3\u5bf9\u8bdd\u673a\u5668\u4eba\u7684\u8f6f\u4ef6\u90e8\u5206\u3002<\/p>\n

\u8bf4\u5230\u8f6f\u4ef6\u90e8\u5206\uff0c\u901a\u5e38\u53c8\u53ef\u4ee5\u62bd\u8c61\u4e3a\u4e09\u4e2a\u90e8\u5206\uff1a<\/p>\n

    \n
  • \n
    \u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff08Automatic Speech Recognition, \u7b80\u79f0 ASR<\/strong>\uff09\uff0c\u76f8\u5f53\u4e8e \u673a\u5668\u4eba\u7684\u8033\u6735<\/strong>\uff0c\u7528\u4e8e\u628a\u6211\u4eec\u7684\u8bed\u97f3\u8bc6\u522b\u6210\u6587\u5b57\uff1b<\/section>\n<\/li>\n
  • \n
    \u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08Natural Language Processing, \u7b80\u79f0 NLP<\/strong>\uff09\uff0c\u76f8\u5f53\u4e8e \u673a\u5668\u4eba\u7684\u5927\u8111<\/strong>\uff0c\u7406\u89e3\u4e0a\u4e00\u6b65\u5f97\u5230\u7684\u6587\u5b57\u4fe1\u606f\uff0c\u5e76\u8fdb\u884c\u7b54\u590d\uff0c\u5f53\u524d\u4e3b\u6d41\u7684\u89e3\u51b3\u65b9\u6848\u662f\u5927\u8bed\u8a00\u6a21\u578bLLM<\/strong>\uff1b<\/section>\n<\/li>\n
  • \n
    \u6587\u672c\u5230\u8bed\u97f3\u5408\u6210\uff08Text to Speech\uff0c\u7b80\u79f0 TTS<\/strong>\uff09\uff0c\u76f8\u5f53\u4e8e \u673a\u5668\u4eba\u7684\u5634\u5df4<\/strong>\uff0c\u628a\u4e0a\u4e00\u6b65\u7684\u7b54\u590d\u7528\u8bed\u97f3\u56de\u7b54\u51fa\u6765<\/section>\n<\/li>\n<\/ul>\n
    \"20241228210813527\"
    \u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0<\/figcaption><\/figure>\n

    \u5982\u4f55\u5feb\u901f\u642d\u5efa\u8bed\u97f3\u5bf9\u8bdd\u7cfb\u7edf\uff1f<\/span><\/h3>\n

    \u4e3a\u4e86\u5e2e\u52a9\u5927\u5bb6\u4ece0\u52301\u5feb\u901f\u5b8c\u6210\u4e00\u4e2a\u7cfb\u7edf\u7684\u642d\u5efa\uff0c\u672c\u6587\u5c06\u5b8c\u5168\u91c7\u7528\u5f00\u6e90<\/strong>\u65b9\u6848\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u800c\u8a00\uff1a<\/p>\n

      \n
    • \n
      \n

      ASR \u91c7\u7528 \u00a0FunASR\uff0c\u76f8\u6bd4 OpenAI \u5f00\u6e90\u7684 Whisper\uff0c\u4e2d\u6587\u8bc6\u522b\u6548\u679c\u66f4\u597d\uff1b<\/p>\n<\/section>\n<\/li>\n

    • \n
      \n

      NLP \u91c7\u7528\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u65b9\u6848\uff0c\u6bd4\u5982\u6211\u4eec\u8fd9\u91cc\u53ef\u4ee5\u91c7\u7528 LLaMA3-8B\uff0c\u91c7\u7528\u672c\u5730\u7684 GPU \u90e8\u7f72\u548c\u8fd0\u884c\uff0c\u5982\u679c\u6ca1\u6709\u672c\u5730 GPU \u8d44\u6e90\uff0c\u4e5f\u53ef\u4ee5\u8c03\u7528\u4e91\u7aef API \u5b9e\u73b0\u8fd9\u4e00\u6b65\uff1b<\/p>\n<\/section>\n<\/li>\n

    • \n
      \n

      TTS \u91c7\u7528 \u6700\u65b0\u5f00\u6e90\u7684 ChatTTS\uff0c\u5b83\u662f\u4e13\u95e8\u4e3a\u5bf9\u8bdd\u573a\u666f\u8bbe\u8ba1\u7684\u6587\u672c\u8f6c\u8bed\u97f3\u6a21\u578b\uff0c\u652f\u6301\u82f1\u6587\u548c\u4e2d\u6587\u4e24\u79cd\u8bed\u8a00\uff0c\u6548\u679c\u975e\u5e38\u60ca\u8273\u3002<\/p>\n<\/section>\n<\/li>\n<\/ul>\n

      1 \u8bed\u97f3\u8bc6\u522b ASR<\/span><\/h2>\n

      ASR \u91c7\u7528\u963f\u91cc\u5f00\u6e90\u7684 FunASR\uff0c\u76f8\u6bd4 OpenAI \u5f00\u6e90\u7684 Whisper\uff0c\u4e2d\u6587\u8bc6\u522b\u6548\u679c\u66f4\u597d\u3002<\/p>\n

      \n

      GitHub\u5730\u5740\uff1ahttps:\/\/github.com\/modelscope\/FunASR \u6a21\u578b\u8c03\u7528\u53c2\u8003\uff1ahttps:\/\/modelscope.cn\/studios\/iic\/funasr_app_clipvideo\/summary<\/p>\n<\/blockquote>\n

      \u901a\u8fc7\u5982\u4e0b\u4ee3\u7801\uff0c\u6211\u4eec\u7b80\u5355\u6d4b\u8bd5\u4e00\u4e0b\u8fd4\u56de\u7ed3\u679c\u548c\u6a21\u578b\u6548\u679c\uff1a<\/p>\n

      from<\/span>\u00a0funasr\u00a0import<\/span>\u00a0AutoModel\n#\u00a0asr\u00a0model<\/span>\nfunasr_model\u00a0=\u00a0AutoModel(model=\"iic\/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch\"<\/span>,\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0vad_model=\"damo\/speech_fsmn_vad_zh-cn-16k-common-pytorch\"<\/span>,\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0punc_model=\"damo\/punc_ct-transformer_zh-cn-common-vocab272727-pytorch\"<\/span>,\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0spk_model=\"damo\/speech_campplus_sv_zh-cn_16k-common\"<\/span>,\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0)\nrec_result\u00a0=\u00a0funasr_model.generate(\"test.wav\"<\/span>,\u00a0return_raw_text=False<\/span>,\u00a0is_final=True<\/span>)\n<\/code><\/pre>\n
      \u63a5\u4e0b\u6765\u6211\u4eec\u9700\u8981\u5c06\u5176\u5c01\u88c5\u6210\u4e00\u4e2a API \uff0c\u65b9\u4fbf\u540e\u7eed\u8c03\u7528\u3002\uff08PS\uff1a\u5982\u9700\u6e90\u7801\u53ef\u5230\u6587\u672b\u81ea\u53d6~\uff09<\/strong><\/p>\n
      2 \u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09<\/span><\/h2>\n
      \u4e3a\u4e86\u5b9e\u73b0\u5bf9\u8bdd\u529f\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u91c7\u7528\u5f53\u524d\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\uff0c\u5bf9\u4e0a\u4e00\u6b65\u8bc6\u522b\u51fa\u6765\u7684\u6587\u5b57\u8fdb\u884c\u7406\u89e3\uff0c\u5e76\u7ed9\u51fa\u7b54\u590d\u3002<\/p>\n
      \u672c\u6587\u7684 LLM \u91c7\u7528 LLaMA3-8B\uff0c\u5f00\u6e90\u793e\u533a\u5df2\u7ecf\u5b9e\u73b0\u4e86\u5bf9 LLaMA3-8B \u7684\u4e2d\u6587\u6307\u4ee4\u5fae\u8c03\uff0c\u4e3a\u6b64\u4e2d\u6587\u6548\u679c\u4f1a\u6bd4\u539f\u59cb\u7248\u672c\u6548\u679c\u66f4\u597d\u3002<\/p>\n
      \n
      GitHub\u5730\u5740\uff1ahttps:\/\/github.com\/ymcui\/Chinese-LLaMA-Alpaca-3 \u6a21\u578b\u5730\u5740\uff1ahttps:\/\/modelscope.cn\/models\/ChineseAlpacaGroup\/llama-3-chinese-8b-instruct\/summary<\/p>\n<\/blockquote>\n
      \u5728\u4e0a\u8ff0\u7684 GitHub \u4ed3\u5e93\u4e2d\uff0c\u7ed9\u51fa\u4e86\u4e00\u952e\u90e8\u7f72\u7684\u811a\u672c\uff0c\u975e\u5e38\u65b9\u4fbf\u3002\u56db\u6b65\u8d70\u641e\u5b9a\u5b83\uff1a<\/p>\n
        \n
      • \n
        \u4e0b\u8f7d\u4ee3\u7801<\/section>\n<\/li>\n
      • \n
        \u4e0b\u8f7d\u6a21\u578b<\/section>\n<\/li>\n
      • \n
        \u5b89\u88c5\u5fc5\u8981\u7684\u5305<\/section>\n<\/li>\n
      • \n
        \u670d\u52a1\u542f\u52a8<\/section>\n<\/li>\n
      • \n
        \u670d\u52a1\u8c03\u7528<\/section>\n<\/li>\n<\/ul>\n
        step 1 \u4e0b\u8f7d\u4ee3\u7801\uff1a<\/strong><\/p>\n
        git\u00a0clone\u00a0https:\/\/github.com\/ymcui\/Chinese-LLaMA-Alpaca-3<\/span>\n<\/code><\/pre>\n
        step 2 \u4e0b\u8f7d\u6a21\u578b\uff1a<\/strong><\/p>\n
        git\u00a0clone\u00a0https:\/\/www.modelscope.cn\/ChineseAlpacaGroup\/llama-3<\/span>-chinese-8<\/span>b-instruct.git\n<\/code><\/pre>\n
        step 3 \u5b89\u88c5\u5fc5\u8981\u7684\u5305\uff1a<\/strong><\/p>\n
        pip\u00a0install\u00a0fastapi\u00a0uvicorn\u00a0shortuuid\u00a0sse_starlette\u00a0peft\u00a0bitsandbytes\npip\u00a0install\u00a0flash-attn\u00a0--no-build-isolation\u00a0#\u00a0\u5982\u679c\u8981\u4f7f\u7528flash-attention\u7684\u8bdd<\/span>\n<\/code><\/pre>\n
        step 4 \u670d\u52a1\u542f\u52a8\uff1a<\/strong>\u670d\u52a1\u542f\u52a8\u7684\u4ee3\u7801\u5982\u4e0b\uff0c--base_model<\/code> \u66ff\u6362\u4e3a\u81ea\u5df1\u7684\u6a21\u578b\u8def\u5f84\uff0c--load_in_4bit<\/code> \u6307\u5b9a\u4e86\u91c7\u7528 4bit \u91cf\u5316\u3002<\/p>\n
        \u6ce8\u610f\uff1a\u5982\u679c\u91c7\u7528\u4e0d\u91cf\u5316\u7684\u65b9\u6848\uff0c\u663e\u5b58\u5360\u752812G\uff0c\u56de\u590d\u975e\u5e38\u6162\uff0c\u6709\u8bf7\u6c42\u8fc7\u6765\u663e\u5b58\u5360\u7528\u6700\u9ad8\u8fd114G\uff0c\u800c\u91c7\u75284bit \u91cf\u5316\uff0c\u663e\u5b58\u53ea\u5360\u7528 6G\u3002<\/strong><\/p>\n
        python\u00a0scripts\/oai_api_demo\/openai_api_server.py\u00a0\n--base_model\u00a0\/path\/to\/models\/llama-3<\/span>-chinese-8<\/span>b-instruct\/\u00a0\n--gpus\u00a02<\/span>\u00a0\n--port\u00a02001<\/span>\u00a0\n--load_in_4bit\u00a0\n--use_flash_attention_2\u00a0\n>\u00a0log.txt\u00a02<\/span>>&1<\/span>\u00a0&\n<\/code><\/pre>\n
        step 5 \u670d\u52a1\u8c03\u7528\uff1a<\/strong>\u4e3a\u4e86\u5b9e\u73b0 LLM \u7684\u4e2a\u6027\u5316\u56de\u7b54\uff0c\u5f53\u7136\u9700\u8981\u7ed9\u5b83\u8bbe\u5b9a\u4e00\u4e2a\u7279\u5b9a\u7684\u4eba\u8bbe\u5566 ~ \uff0c\u8fd9\u4e00\u6b65\u53ef\u4ee5\u901a\u8fc7\u4eba\u8bbe\u63d0\u793a\u8bcd<\/strong>\u6765\u8f7b\u677e\u641e\u5b9a\u3002\u4e0b\u9762\u7ed9\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n
        #\u00a0\u8bbe\u7f6e\u4eba\u8bbe\u63d0\u793a\u8bcd\uff0c\u6839\u636e\u9700\u8981\u8fdb\u884c\u4fee\u6539<\/span>\nprompt_dict\u00a0=\u00a0{\n\u00a0\u00a0\u00a0\u00a0'llama3-8b'<\/span>:\u00a0[\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{\"role\"<\/span>:\u00a0\"system\"<\/span>,\u00a0\"content\"<\/span>:\u00a0\"\u4f60\u662f\u7334\u54e5\u7684\u5168\u80fd\u5c0f\u52a9\u624b\uff0c\u4e0a\u77e5\u5929\u6587\uff0c\u4e0b\u77e5\u5730\u7406\uff0c\u53ef\u89e3\u51b3\u751f\u6d3b\u4e2d\u7684\u4e00\u5207\u56f0\u6270\u3002\"<\/span>},\n\u00a0\u00a0\u00a0\u00a0],\n}\n<\/code><\/pre>\n
        \u5982\u679c\u672c\u5730\u6ca1\u6709 GPU \u8d44\u6e90\u90e8\u7f72 \u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4e5f\u53ef\u4ee5\u9009\u62e9\u8c03\u7528\u4e91\u7aef API \u6765\u5b9e\u73b0\u8fd9\u4e00\u6b65\uff0c\u7334\u54e5\u4e0b\u4e00\u7bc7\u5c31\u6765\u68b3\u7406\u4e00\u4e0b\uff1a\u6211\u4eec\u90fd\u53ef\u4ee5\u8c03\u7528\u54ea\u4e9b\u514d\u8d39\u7684 LLM API?<\/strong><\/p>\n
        \u6b22\u8fce\u8ffd\u66f4\uff01<\/strong><\/p>\n
        3 \u8bed\u97f3\u751f\u6210\uff08TTS\uff09<\/span><\/h2>\n
        \u4e3a\u4e86\u5c06\u5927\u6a21\u578b\u8f93\u51fa\u7684\u6587\u5b57\u751f\u6210\u8bed\u97f3\u8fd4\u56de\uff0c\u8fd9\u91cc\u6211\u4eec\u91c7\u7528 2024.5 \u521a\u5f00\u6e90\u7684\u9879\u76ee – ChatTTS\uff0c\u751f\u6210\u6548\u679c\u975e\u5e38\u60ca\u8273\u3002\u5173\u4e8e ChatTTS \u7684\u5177\u4f53\u4f7f\u7528\uff0c\u7334\u54e5\u4f1a\u5355\u72ec\u51fa\u4e00\u7bc7\u6559\u7a0b\uff0c\u5426\u5219\u672c\u6587\u7684\u7bc7\u5e45\u5c31\u592a\u957f\u4e86\u3002<\/p>\n
        \u540c\u6837\u8fd8\u662f\u91c7\u7528 FastAPI \u6765\u5b9e\u73b0\u5c01\u88c5\uff0c\u548c\u90e8\u7f72 ASR \u6a21\u578b\u7c7b\u4f3c\uff0c\u5728\u6b64\u4e0d\u518d\u8d58\u8ff0\u3002<\/p>\n
        \uff08PS\uff1a\u5982\u9700\u6e90\u7801\u53ef\u5230\u6587\u672b\u81ea\u53d6~\uff09<\/strong><\/p>\n
        4 \u524d\u7aef\u4ea4\u4e92\u5b9e\u73b0\uff08Gradio\uff09<\/span><\/h2>\n
        Gradio\u662f\u4e00\u4e2a\u7528\u4e8e\u5feb\u901f\u521b\u5efa\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u4ea4\u4e92\u5f0f\u6f14\u793a\u7684\u5f00\u6e90\u5e93\u3002\u5b83\u5141\u8bb8\u5f00\u53d1\u8005\u901a\u8fc7\u7b80\u5355\u7684Python\u4ee3\u7801\u5feb\u901f\u6784\u5efa\u4e00\u4e2a\u7528\u6237\u754c\u9762\u3002<\/p>\n
        \u4e3a\u4e86\u5feb\u901f\u642d\u5efa\u5e94\u7528\uff0c\u6211\u4eec\u8fd8\u662f\u8981\u8bf7\u51fa\u6211\u4eec\u7684\u8001\u670b\u53cb – Gradio\uff0c\u4ea4\u4e92\u754c\u9762\u5982\u56fe\u6240\u793a\uff1a\"20241228210817517\"<\/p>\n
        \u6765\u4e00\u6bb5\u6548\u679c\u5c55\u793a\uff1a<\/p>\n
        <\/section>\n

        \n<\/span>
        \n<\/span>
        \n<\/span>
        \n<\/span>
        \n<\/span>\u672a\u5b8c\u5f85\u7eed<\/span><\/h3>\n
        \u81f3\u6b64\uff0c\u4e00\u4e2a\u8bed\u97f3\u5bf9\u8bdd\u4ea4\u4e92\u7cfb\u7edf\u5c31\u642d\u5efa\u597d\u4e86\uff0c\u5f53\u7136\u76ee\u524d\u53ea\u662f\u4e3a\u4e86\u6f14\u793a\u57fa\u672c\u529f\u80fd\uff0c\u754c\u9762\u8fd8\u6bd4\u8f83\u7b80\u964b\uff0c\u5728\u6b64\u57fa\u7840\u4e0a \uff0c\u8fd8\u53ef\u4ee5\u589e\u52a0\u66f4\u591a\u529f\u80fd\uff1a<\/p>\n
          \n
        • \n
          ASR : \u76ee\u524d\u91c7\u7528\u7684 FunASR \u6a21\u578b\uff0c\u5728\u6709\u566a\u58f0\u60c5\u51b5\u4e0b\u8bc6\u522b\u6548\u679c\u8fd8\u6709\u5f85\u589e\u5f3a\uff0c\u9700\u8981\u627e\u5230\u66f4\u6709\u6548\u7684\u5e73\u66ff\uff1b<\/section>\n<\/li>\n
        • \n
          LLM\uff1a\u6a21\u578b\u672c\u5730\u90e8\u7f72\u5bf9\u5f88\u591a\u5c0f\u4f19\u4f34\u8fd8\u662f\u6709\u4e00\u5b9a\u95e8\u69db\uff0c\u9700\u8981\u627e\u5230\u5e73\u4ef7 or \u514d\u8d39\u7684\u4e91\u7aef API<\/section>\n<\/li>\n
        • \n
          TTS\uff1aChatTTS\u7684\u6548\u679c\u975e\u5e38\u4e0d\u9519\uff0c\u540e\u7eed\u53ef\u4ee5\u589e\u52a0\u8bf4\u8bdd\u4eba\u8eab\u4efd\uff0c\u5b9e\u73b0\u66f4\u4e30\u5bcc\u7684\u8f93\u51fa\uff1b\u652f\u6301\u6d41\u5f0f\u5bf9\u8bdd\uff0c\u50cf GPT-4o \u90a3\u6837\u81ea\u7136\u6253\u65ad\u3002<\/section>\n<\/li>\n<\/ul>\n
          \n<\/section>\n
          <\/section>\n
           <\/p>\n","protected":false},"excerpt":{"rendered":"
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