{"id":28836,"date":"2025-03-17T16:42:54","date_gmt":"2025-03-17T08:42:54","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=28836"},"modified":"2025-03-17T16:43:18","modified_gmt":"2025-03-17T08:43:18","slug":"daxingyuyanmoxingba","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/daxingyuyanmoxingba\/","title":{"rendered":"\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5de5\u7a0b\u5e08\u5de5\u5177\u7bb1\uff1a\u7cbe\u9009120+\u5b9e\u7528\u5e93\u8d44\u6e90"},"content":{"rendered":"

\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6280\u672f\u65e5\u65b0\u6708\u5f02\uff0c\u5404\u79cd\u5de5\u5177\u5e93\u5c42\u51fa\u4e0d\u7a77\u3002\u4e3a\u4e86\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u597d\u5730\u5e94\u5bf9 LLM \u5f00\u53d1\u7684\u6311\u6218\uff0c\u672c\u6587\u6574\u7406\u4e86\u4e00\u4efd\u5305\u542b 120 \u591a\u4e2a\u5b9e\u7528 LLM \u5e93\u7684\u5de5\u5177\u7bb1\uff0c\u5e76\u6309\u529f\u80fd\u7c7b\u522b\u8fdb\u884c\u5212\u5206\uff0c\u65b9\u4fbf\u5de5\u7a0b\u5e08\u4eec\u5feb\u901f\u67e5\u627e\u548c\u5e94\u7528\u3002<\/p>\n

\"\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5de5\u7a0b\u5e08\u5de5\u5177\u7bb1\uff1a\u7cbe\u9009120+\u5b9e\u7528\u5e93\u8d44\u6e90-1\"<\/p>\n

 <\/p>\n

\u5feb\u901f\u5bfc\u822a<\/h3>\n

\u4e3a\u4e86\u65b9\u4fbf\u8bfb\u8005\u5feb\u901f\u5b9a\u4f4d\u6240\u9700\u8d44\u6e90\uff0c\u4ee5\u4e0b\u662f\u5404\u4e2a\u7c7b\u522b\u5de5\u5177\u5e93\u7684\u5feb\u901f\u94fe\u63a5\uff1a<\/p>\n\n\n\n\n\n\n\n\n\n
<\/th>\n<\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
\ud83d\ude80 LLM \u8bad\u7ec3\u4e0e\u5fae\u8c03<\/td>\n\ud83e\uddf1 LLM \u5e94\u7528\u5f00\u53d1<\/td>\n\ud83e\ude78 LLM \u68c0\u7d22\u589e\u5f3a\u751f\u6210(RAG<\/a>)<\/td>\n<\/tr>\n
\ud83d\udfe9 LLM \u63a8\u7406<\/td>\n\ud83d\udea7 LLM \u670d\u52a1\u90e8\u7f72<\/td>\n\ud83d\udce4 LLM \u6570\u636e\u63d0\u53d6<\/td>\n<\/tr>\n
\ud83c\udf20 LLM \u6570\u636e\u751f\u6210<\/td>\n\ud83d\udc8e LLM \u667a\u80fd\u4f53<\/td>\n\u2696\ufe0f LLM \u8bc4\u4f30<\/td>\n<\/tr>\n
\ud83d\udd0d LLM \u76d1\u63a7<\/td>\n\ud83d\udcc5 LLM \u63d0\u793a\u8bcd\u5de5\u7a0b<\/td>\n\ud83d\udcdd LLM \u7ed3\u6784\u5316\u8f93\u51fa<\/a><\/td>\n<\/tr>\n
\ud83d\uded1 LLM \u5b89\u5168<\/td>\n\ud83d\udca0 LLM \u5d4c\u5165\u6a21\u578b<\/td>\n\u2747\ufe0f \u5176\u4ed6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u8bad\u7ec3\u4e0e\u5fae\u8c03<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
unsloth<\/a><\/td>\n\u4ee5\u66f4\u5c11\u7684\u5185\u5b58\u66f4\u5feb\u5730\u5fae\u8c03 LLM\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
PEFT<\/td>\n\u5148\u8fdb\u7684\u53c2\u6570\u9ad8\u6548\u5fae\u8c03\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
TRL<\/td>\n\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3 transformer<\/a> \u8bed\u8a00\u6a21\u578b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Transformers<\/td>\nTransformers \u63d0\u4f9b\u4e86\u6570\u5343\u4e2a\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u7528\u4e8e\u6267\u884c\u6587\u672c\u3001\u89c6\u89c9\u548c\u97f3\u9891\u7b49\u4e0d\u540c\u6a21\u6001\u7684\u4efb\u52a1\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Axolotl<\/td>\n\u65e8\u5728\u7b80\u5316\u5404\u79cd AI \u6a21\u578b\u540e\u8bad\u7ec3\u7684\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLMBox<\/td>\n\u4e00\u4e2a\u5168\u9762\u7684 LLM \u5e93\uff0c\u5305\u62ec\u7edf\u4e00\u7684\u8bad\u7ec3\u7ba1\u9053\u548c\u5168\u9762\u7684\u6a21\u578b\u8bc4\u4f30\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LitGPT<\/td>\n\u5feb\u901f\u8bad\u7ec3\u548c\u5fae\u8c03 LLM\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Mergoo<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u8f7b\u677e\u5408\u5e76\u591a\u4e2a LLM \u4e13\u5bb6\u5e76\u6709\u6548\u8bad\u7ec3\u5408\u5e76\u540e\u7684 LLM \u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Llama-Factory<\/td>\n\u7b80\u5355\u9ad8\u6548\u7684 LLM \u5fae\u8c03\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Ludwig<\/td>\n\u7528\u4e8e\u6784\u5efa\u81ea\u5b9a\u4e49 LLM\u3001\u795e\u7ecf\u7f51\u7edc\u548c\u5176\u4ed6 AI \u6a21\u578b\u7684\u4f4e\u4ee3\u7801\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Txtinstruct<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u8bad\u7ec3\u6307\u4ee4\u8c03\u4f18\u6a21\u578b\u7684\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Lamini<\/td>\n\u4e00\u4e2a\u96c6\u6210\u7684 LLM \u63a8\u7406\u548c\u8c03\u4f18\u5e73\u53f0\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
XTuring<\/td>\nXTuring \u63d0\u4f9b\u4e86\u5bf9 Mistral\u3001LLaMA\u3001GPT-J \u7b49\u5f00\u6e90 LLM \u8fdb\u884c\u5feb\u901f\u3001\u9ad8\u6548\u548c\u7b80\u5355\u5fae\u8c03\u7684\u529f\u80fd\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
RL4LMs<\/td>\n\u4e00\u4e2a\u6a21\u5757\u5316\u7684 RL \u5e93\uff0c\u7528\u4e8e\u6839\u636e\u4eba\u7c7b\u504f\u597d\u5fae\u8c03\u8bed\u8a00\u6a21\u578b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
DeepSpeed<\/td>\nDeepSpeed \u662f\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u4f18\u5316\u5e93\uff0c\u4f7f\u5206\u5e03\u5f0f\u8bad\u7ec3\u548c\u63a8\u7406\u53d8\u5f97\u7b80\u5355\u3001\u9ad8\u6548\u548c\u6709\u6548\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
torchtune<\/td>\n\u4e00\u4e2a\u4e13\u95e8\u4e3a\u5fae\u8c03 LLM \u800c\u8bbe\u8ba1\u7684 PyTorch \u539f\u751f\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
PyTorch Lightning<\/a><\/td>\n\u4e00\u4e2a\u4e3a\u9884\u8bad\u7ec3\u548c\u5fae\u8c03 LLM \u63d0\u4f9b\u9ad8\u7ea7\u63a5\u53e3\u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u5e94\u7528\u5f00\u53d1<\/h3>\n

\u6846\u67b6<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
LangChain<\/td>\nLangChain \u662f\u4e00\u4e2a\u7528\u4e8e\u5f00\u53d1\u7531\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Llama Index<\/td>\nLlamaIndex \u662f LLM \u5e94\u7528\u7a0b\u5e8f\u7684\u6570\u636e\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
HayStack<\/td>\nHaystack \u662f\u4e00\u4e2a\u7aef\u5230\u7aef\u7684 LLM \u6846\u67b6\uff0c\u5141\u8bb8\u7528\u6237\u6784\u5efa\u7531 LLM\u3001Transformer \u6a21\u578b\u3001\u5411\u91cf\u641c\u7d22\u7b49\u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Prompt flow<\/td>\n\u4e00\u5957\u5f00\u53d1\u5de5\u5177\uff0c\u65e8\u5728\u7b80\u5316\u57fa\u4e8e LLM \u7684 AI \u5e94\u7528\u7a0b\u5e8f\u7684\u7aef\u5230\u7aef\u5f00\u53d1\u5468\u671f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Griptape<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa AI \u9a71\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u6a21\u5757\u5316 Python \u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Weave<\/td>\nWeave \u662f\u4e00\u4e2a\u7528\u4e8e\u5f00\u53d1\u751f\u6210\u5f0f AI \u5e94\u7528\u7a0b\u5e8f\u7684\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Llama Stack<\/td>\n\u6784\u5efa Llama \u5e94\u7528\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u591a API \u8bbf\u95ee<\/strong><\/p>\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
LiteLLM<\/td>\n\u4ee5 OpenAI \u683c\u5f0f\u8c03\u7528 100 \u591a\u4e2a LLM API \u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AI Gateway<\/td>\n\u4e00\u4e2a\u5feb\u901f AI \u7f51\u5173\uff0c\u5177\u6709\u96c6\u6210\u7684\u62a4\u680f\u3002\u901a\u8fc7 1 \u4e2a\u5feb\u901f\u53cb\u597d\u7684 API \u8def\u7531\u5230 200 \u591a\u4e2a LLM\u300150 \u591a\u4e2a AI \u62a4\u680f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8def\u7531\u5668<\/strong><\/p>\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
RouteLLM<\/td>\n\u7528\u4e8e\u670d\u52a1\u548c\u8bc4\u4f30 LLM \u8def\u7531\u5668\u7684\u6846\u67b6 – \u5728\u4e0d\u5f71\u54cd\u8d28\u91cf\u7684\u60c5\u51b5\u4e0b\u8282\u7701 LLM \u6210\u672c\u3002OpenAI \u5ba2\u6237\u7aef\u7684\u76f4\u63a5\u66ff\u4ee3\u54c1\uff0c\u7528\u4e8e\u5c06\u66f4\u7b80\u5355\u7684\u67e5\u8be2\u8def\u7531\u5230\u66f4\u4fbf\u5b9c\u7684\u6a21\u578b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8bb0\u5fc6<\/strong><\/p>\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
mem0<\/a><\/td>\nAI \u5e94\u7528\u7684\u8bb0\u5fc6\u5c42\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Memoripy<\/td>\n\u4e00\u4e2a AI \u8bb0\u5fc6\u5c42\uff0c\u5177\u6709\u77ed\u671f\u548c\u957f\u671f\u5b58\u50a8\u3001\u8bed\u4e49\u805a\u7c7b\u4ee5\u53ca\u7528\u4e8e\u4e0a\u4e0b\u6587\u611f\u77e5\u5e94\u7528\u7a0b\u5e8f\u7684\u53ef\u9009\u8bb0\u5fc6\u8870\u51cf\u529f\u80fd\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u754c\u9762<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Streamlit<\/td>\n\u6784\u5efa\u548c\u5171\u4eab\u6570\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u66f4\u5feb\u65b9\u6cd5\u3002Streamlit \u8ba9\u7528\u6237\u5728\u51e0\u5206\u949f\u5185\u5c06 Python \u811a\u672c\u8f6c\u6362\u4e3a\u4ea4\u4e92\u5f0f web \u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Gradio<\/td>\n\u5168\u90e8\u7528 Python \u6784\u5efa\u548c\u5171\u4eab\u4ee4\u4eba\u6109\u60a6\u7684\u673a\u5668\u5b66\u4e60\u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AI SDK UI<\/td>\n\u6784\u5efa\u804a\u5929\u548c\u751f\u6210\u5f0f\u7528\u6237\u754c\u9762\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AI-Gradio<\/td>\n\u521b\u5efa\u7531\u5404\u79cd AI \u63d0\u4f9b\u5546\u652f\u6301\u7684 AI \u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Simpleaichat<\/td>\nPython \u5305\uff0c\u7528\u4e8e\u8f7b\u677e\u4e0e\u804a\u5929\u5e94\u7528\u7a0b\u5e8f\u4ea4\u4e92\uff0c\u5177\u6709\u5f3a\u5927\u7684\u529f\u80fd\u548c\u6700\u5c0f\u7684\u4ee3\u7801\u590d\u6742\u6027\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Chainlit<\/td>\n\u5728\u51e0\u5206\u949f\u5185\u6784\u5efa\u53ef\u7528\u4e8e\u751f\u4ea7\u7684\u5bf9\u8bdd\u5f0f AI \u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4f4e\u4ee3\u7801<\/strong><\/p>\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
LangFlow<\/a><\/td>\nLangFlow \u662f\u4e00\u4e2a\u7528\u4e8e RAG \u548c\u591a\u4ee3\u7406 AI \u5e94\u7528\u7a0b\u5e8f\u7684\u4f4e\u4ee3\u7801\u5e94\u7528\u7a0b\u5e8f\u6784\u5efa\u5668\u3002\u5b83\u57fa\u4e8e Python\uff0c\u5e76\u4e14\u4e0e\u4efb\u4f55\u6a21\u578b\u3001API \u6216\u6570\u636e\u5e93\u65e0\u5173\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7f13\u5b58<\/strong><\/p>\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
GPTCache<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u4e3a LLM \u67e5\u8be2\u521b\u5efa\u8bed\u4e49\u7f13\u5b58\u7684\u5e93\u3002\u5c06 LLM API \u6210\u672c\u964d\u4f4e 10 \u500d\ud83d\udcb0\uff0c\u5c06\u901f\u5ea6\u63d0\u9ad8 100 \u500d\u3002\u4e0e LangChain \u548c LlamaIndex \u5b8c\u5168\u96c6\u6210\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM RAG<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
FastGraph RAG<\/td>\n\u6d41\u7ebf\u578b\u4e14\u53ef\u63d0\u793a\u7684 Fast GraphRAG \u6846\u67b6\uff0c\u4e13\u4e3a\u53ef\u89e3\u91ca\u3001\u9ad8\u7cbe\u5ea6\u3001\u4ee3\u7406\u9a71\u52a8\u7684\u68c0\u7d22\u5de5\u4f5c\u6d41\u7a0b\u800c\u8bbe\u8ba1\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Chonkie<\/td>\nRAG \u5206\u5757\u5e93\uff0c\u8f7b\u91cf\u7ea7\u3001\u6781\u901f\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
RAGChecker<\/td>\n\u7528\u4e8e\u8bca\u65ad RAG \u7684\u7ec6\u7c92\u5ea6\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
RAG to Riches<\/td>\n\u6784\u5efa\u3001\u6269\u5c55\u548c\u90e8\u7f72\u5148\u8fdb\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
BeyondLLM<\/td>\nBeyond LLM \u63d0\u4f9b\u4e86\u4e00\u4e2a\u4e00\u4f53\u5316\u5de5\u5177\u5305\uff0c\u7528\u4e8e\u68c0\u7d22\u589e\u5f3a\u751f\u6210 (RAG) \u7cfb\u7edf\u7684\u5b9e\u9a8c\u3001\u8bc4\u4f30\u548c\u90e8\u7f72\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
SQLite-Vec<\/td>\n\u4e00\u4e2a\u53ef\u5728\u4efb\u4f55\u5730\u65b9\u8fd0\u884c\u7684\u5411\u91cf\u641c\u7d22 SQLite \u6269\u5c55\uff01<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
fastRAG<\/td>\nfastRAG \u662f\u4e00\u4e2a\u7814\u7a76\u6846\u67b6\uff0c\u7528\u4e8e\u9ad8\u6548\u548c\u4f18\u5316\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u7ba1\u9053\uff0c\u7ed3\u5408\u4e86\u5148\u8fdb\u7684 LLM \u548c\u4fe1\u606f\u68c0\u7d22\u6280\u672f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
FlashRAG<\/td>\n\u7528\u4e8e\u9ad8\u6548 RAG \u7814\u7a76\u7684 Python \u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Llmware<\/a><\/td>\n\u7528\u4e8e\u4f7f\u7528\u5c0f\u578b\u3001\u4e13\u7528\u6a21\u578b\u6784\u5efa\u4f01\u4e1a RAG \u7ba1\u9053\u7684\u7edf\u4e00\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Rerankers<\/td>\n\u5404\u79cd\u91cd\u6392\u5e8f\u6a21\u578b\u7684\u8f7b\u91cf\u7ea7\u7edf\u4e00 API\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Vectara<\/td>\n\u6784\u5efa Agentic RAG \u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u63a8\u7406<\/h3>\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
LLM Compressor<\/td>\n\u4e0e Transformers \u517c\u5bb9\u7684\u5e93\uff0c\u7528\u4e8e\u5c06\u5404\u79cd\u538b\u7f29\u7b97\u6cd5\u5e94\u7528\u4e8e LLM\uff0c\u4ee5\u4f18\u5316\u90e8\u7f72\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LightLLM<\/a><\/td>\n\u57fa\u4e8e Python \u7684 LLM \u63a8\u7406\u548c\u670d\u52a1\u6846\u67b6\uff0c\u4ee5\u5176\u8f7b\u91cf\u7ea7\u8bbe\u8ba1\u3001\u6613\u6269\u5c55\u6027\u548c\u9ad8\u901f\u6027\u80fd\u800c\u8457\u79f0\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
vLLM<\/a><\/td>\n\u7528\u4e8e LLM \u7684\u9ad8\u541e\u5410\u91cf\u548c\u5185\u5b58\u9ad8\u6548\u7684\u63a8\u7406\u548c\u670d\u52a1\u5f15\u64ce\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
torchchat<\/td>\n\u5728\u670d\u52a1\u5668\u3001\u684c\u9762\u548c\u79fb\u52a8\u8bbe\u5907\u4e0a\u672c\u5730\u8fd0\u884c PyTorch LLM\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
TensorRT-LLM<\/td>\nTensorRT-LLM \u662f\u4e00\u4e2a\u7528\u4e8e\u4f18\u5316\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u63a8\u7406\u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
WebLLM<\/td>\n\u9ad8\u6027\u80fd\u6d4f\u89c8\u5668\u5185 LLM \u63a8\u7406\u5f15\u64ce\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u670d\u52a1\u90e8\u7f72<\/h3>\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Langcorn<\/td>\n\u4f7f\u7528 FastAPI \u81ea\u52a8\u670d\u52a1 LangChain LLM \u5e94\u7528\u7a0b\u5e8f\u548c\u4ee3\u7406\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LitServe<\/td>\n\u9002\u7528\u4e8e\u4efb\u4f55\u5927\u5c0f\u7684\u4efb\u4f55 AI \u6a21\u578b\u7684\u6781\u901f\u670d\u52a1\u5f15\u64ce\u3002\u5b83\u4f7f\u7528\u6279\u91cf\u5904\u7406\u3001\u6d41\u5f0f\u4f20\u8f93\u548c GPU \u81ea\u52a8\u7f29\u653e\u7b49\u529f\u80fd\u589e\u5f3a\u4e86 FastAPI\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u6570\u636e\u63d0\u53d6<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Crawl4AI<\/a><\/td>\n\u5f00\u6e90 LLM \u53cb\u597d\u7684 Web \u722c\u866b\u548c\u6293\u53d6\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
ScrapeGraphAI<\/td>\n\u4e00\u4e2a web \u6293\u53d6 Python \u5e93\uff0c\u5b83\u4f7f\u7528 LLM \u548c\u76f4\u63a5\u56fe\u903b\u8f91\u4e3a\u7f51\u7ad9\u548c\u672c\u5730\u6587\u6863\uff08XML\u3001HTML\u3001JSON\u3001Markdown \u7b49\uff09\u521b\u5efa\u6293\u53d6\u7ba1\u9053\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Docling<\/td>\nDocling \u89e3\u6790\u6587\u6863\u5e76\u8f7b\u677e\u5feb\u901f\u5730\u5c06\u5b83\u4eec\u5bfc\u51fa\u4e3a\u6240\u9700\u7684\u683c\u5f0f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Llama Parse<\/td>\nGenAI \u539f\u751f\u6587\u6863\u89e3\u6790\u5668\uff0c\u53ef\u4ee5\u4e3a\u4efb\u4f55\u4e0b\u6e38 LLM \u7528\u4f8b\uff08RAG\u3001\u4ee3\u7406\uff09\u89e3\u6790\u590d\u6742\u6587\u6863\u6570\u636e\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
PyMuPDF4LLM<\/td>\nPyMuPDF4LLM \u5e93\u4f7f\u7528\u6237\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u4ee5 LLM & RAG \u73af\u5883\u6240\u9700\u7684\u683c\u5f0f\u63d0\u53d6 PDF \u5185\u5bb9\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Crawlee<\/td>\n\u4e00\u4e2a web \u6293\u53d6\u548c\u6d4f\u89c8\u5668\u81ea\u52a8\u5316\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
MegaParse<\/td>\n\u9002\u7528\u4e8e\u6bcf\u79cd\u6587\u6863\u7c7b\u578b\u7684\u89e3\u6790\u5668\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
ExtractThinker<\/td>\n\u7528\u4e8e LLM \u7684\u6587\u6863\u667a\u80fd\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u6570\u636e\u751f\u6210<\/h3>\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
DataDreamer<\/td>\nDataDreamer \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5f00\u6e90 Python \u5e93\uff0c\u7528\u4e8e\u63d0\u793a\u3001\u5408\u6210\u6570\u636e\u751f\u6210\u548c\u8bad\u7ec3\u5de5\u4f5c\u6d41\u7a0b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
fabricator<\/td>\n\u4e00\u4e2a\u7075\u6d3b\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u7528\u4e8e\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u751f\u6210\u6570\u636e\u96c6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Promptwright<\/td>\n\u5408\u6210\u6570\u636e\u96c6\u751f\u6210\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
EasyInstruct<\/td>\n\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u6307\u4ee4\u5904\u7406\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h3>\n

LLM \u667a\u80fd\u4f53<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
CrewAI<\/a><\/td>\n\u7528\u4e8e\u7f16\u6392\u89d2\u8272\u626e\u6f14\u3001\u81ea\u4e3b AI \u4ee3\u7406\u7684\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LangGraph<\/a><\/td>\n\u5c06\u5f39\u6027\u8bed\u8a00\u4ee3\u7406\u6784\u5efa\u4e3a\u56fe\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Agno<\/a><\/td>\n\u6784\u5efa\u5177\u6709\u8bb0\u5fc6\u3001\u77e5\u8bc6\u3001\u5de5\u5177\u548c\u63a8\u7406\u80fd\u529b\u7684 AI \u4ee3\u7406\u3002\u4f7f\u7528\u6f02\u4eae\u7684\u4ee3\u7406 UI \u4e0e\u4ed6\u4eec\u804a\u5929\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AutoGen<\/a><\/td>\n\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa AI \u4ee3\u7406\u7cfb\u7edf\u7684\u5f00\u6e90\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Smolagents<\/td>\n\u5728\u51e0\u884c\u4ee3\u7801\u4e2d\u6784\u5efa\u5f3a\u5927\u4ee3\u7406\u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Pydantic AI<\/td>\nPython \u4ee3\u7406\u6846\u67b6\uff0c\u7528\u4e8e\u4f7f\u7528\u751f\u6210\u5f0f AI \u6784\u5efa\u751f\u4ea7\u7ea7\u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
gradio-tools<\/td>\n\u4e00\u4e2a Python \u5e93\uff0c\u7528\u4e8e\u5c06 Gradio \u5e94\u7528\u7a0b\u5e8f\u8f6c\u6362\u4e3a\u53ef\u7531\u57fa\u4e8e LLM \u7684\u4ee3\u7406\u5229\u7528\u4ee5\u5b8c\u6210\u5176\u4efb\u52a1\u7684\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Composio<\/a><\/td>\n\u7528\u4e8e AI \u4ee3\u7406\u7684\u751f\u4ea7\u5c31\u7eea\u5de5\u5177\u96c6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Atomic Agents<\/td>\n\u539f\u5b50\u5730\u6784\u5efa AI \u4ee3\u7406\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Memary<\/td>\n\u7528\u4e8e\u81ea\u4e3b\u4ee3\u7406\u7684\u5f00\u6e90\u8bb0\u5fc6\u5c42\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Browser Use<\/td>\n\u4f7f\u7f51\u7ad9\u53ef\u4f9b AI \u4ee3\u7406\u8bbf\u95ee\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
OpenWebAgent<\/td>\n\u4e00\u4e2a\u5728\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e0a\u542f\u7528 Web \u4ee3\u7406\u7684\u5f00\u653e\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Lagent<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa\u57fa\u4e8e LLM \u7684\u4ee3\u7406\u7684\u8f7b\u91cf\u7ea7\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LazyLLM<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa\u591a\u4ee3\u7406 LLM \u5e94\u7528\u7a0b\u5e8f\u7684\u4f4e\u4ee3\u7801\u5f00\u53d1\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Swarms<\/td>\n\u4f01\u4e1a\u7ea7\u751f\u4ea7\u5c31\u7eea\u591a\u4ee3\u7406\u7f16\u6392\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
ChatArena<\/td>\nChatArena \u662f\u4e00\u4e2a\u5e93\uff0c\u63d0\u4f9b\u591a\u4ee3\u7406\u8bed\u8a00\u6e38\u620f\u73af\u5883\uff0c\u5e76\u4fc3\u8fdb\u5bf9\u81ea\u4e3b LLM \u4ee3\u7406\u53ca\u5176\u793e\u4ea4\u4e92\u52a8\u8fdb\u884c\u7814\u7a76\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Swarm<\/a><\/td>\n\u63a2\u7d22\u7b26\u5408\u4eba\u4f53\u5de5\u7a0b\u5b66\u7684\u8f7b\u91cf\u7ea7\u591a\u4ee3\u7406\u7f16\u6392\u7684\u6559\u80b2\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AgentStack<\/td>\n\u6784\u5efa\u5f3a\u5927 AI \u4ee3\u7406\u7684\u6700\u5feb\u65b9\u6cd5\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Archgw<\/td>\n\u667a\u80fd\u4ee3\u7406\u7f51\u5173\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Flow<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa AI \u4ee3\u7406\u7684\u8f7b\u91cf\u7ea7\u4efb\u52a1\u5f15\u64ce\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AgentOps<\/td>\nAI \u4ee3\u7406\u76d1\u63a7\u7684 Python SDK\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Langroid<\/a><\/td>\n\u591a\u4ee3\u7406\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Agentarium<\/td>\n\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406\u586b\u5145 AI \u9a71\u52a8\u4ee3\u7406\u7684\u6a21\u62df\u7684\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Upsonic<\/td>\n\u652f\u6301 MCP<\/a> \u7684\u53ef\u9760 AI \u4ee3\u7406\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u8bc4\u4f30<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Ragas<\/a><\/td>\nRagas \u662f\u8bc4\u4f30\u548c\u4f18\u5316\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5e94\u7528\u7a0b\u5e8f\u7684\u7ec8\u6781\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Giskard<\/td>\nML & LLM \u7cfb\u7edf\u7684\u5f00\u6e90\u8bc4\u4f30\u548c\u6d4b\u8bd5\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
DeepEval<\/td>\nLLM \u8bc4\u4f30\u6846\u67b6<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Lighteval<\/td>\n\u7528\u4e8e\u8bc4\u4f30 LLM \u7684\u4e00\u4f53\u5316\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Trulens<\/td>\nLLM \u5b9e\u9a8c\u7684\u8bc4\u4f30\u548c\u8ddf\u8e2a\u5de5\u5177<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
PromptBench<\/td>\n\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u7edf\u4e00\u8bc4\u4f30\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LangTest<\/td>\n\u4ea4\u4ed8\u5b89\u5168\u6709\u6548\u7684\u8bed\u8a00\u6a21\u578b\u3002\u7528\u4e8e\u6bd4\u8f83 LLM & NLP \u6a21\u578b\u5728\u51c6\u786e\u6027\u3001\u504f\u5dee\u3001\u516c\u5e73\u6027\u3001\u7a33\u5065\u6027\u7b49\u65b9\u9762\u7684 60 \u591a\u79cd\u6d4b\u8bd5\u7c7b\u578b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
EvalPlus<\/td>\n\u7528\u4e8e LLM4Code \u7684\u4e25\u683c\u8bc4\u4f30\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
FastChat<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u8bad\u7ec3\u3001\u670d\u52a1\u548c\u8bc4\u4f30\u57fa\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u804a\u5929\u673a\u5668\u4eba\u7684\u5f00\u653e\u5e73\u53f0\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
judges<\/td>\n\u4e00\u4e2a\u5c0f\u578b LLM \u8bc4\u59d4\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Evals<\/td>\nEvals \u662f\u4e00\u4e2a\u7528\u4e8e\u8bc4\u4f30 LLM \u548c LLM \u7cfb\u7edf\u7684\u6846\u67b6\uff0c\u4ee5\u53ca\u57fa\u51c6\u7684\u5f00\u6e90\u6ce8\u518c\u8868\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AgentEvals<\/td>\n\u7528\u4e8e\u8bc4\u4f30\u4ee3\u7406\u6027\u80fd\u7684\u8bc4\u4f30\u5668\u548c\u5b9e\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLMBox<\/td>\n\u4e00\u4e2a\u5168\u9762\u7684 LLM \u5e93\uff0c\u5305\u62ec\u7edf\u4e00\u7684\u8bad\u7ec3\u7ba1\u9053\u548c\u5168\u9762\u7684\u6a21\u578b\u8bc4\u4f30\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Opik<\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7aef\u5230\u7aef LLM \u5f00\u53d1\u5e73\u53f0\uff0c\u5176\u4e2d\u8fd8\u5305\u62ec LLM \u8bc4\u4f30\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u76d1\u63a7<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
MLflow<\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7aef\u5230\u7aef MLOps\/LLMOps \u5e73\u53f0\uff0c\u7528\u4e8e\u8ddf\u8e2a\u3001\u8bc4\u4f30\u548c\u76d1\u63a7 LLM \u5e94\u7528\u7a0b\u5e8f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Opik<\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7aef\u5230\u7aef LLM \u5f00\u53d1\u5e73\u53f0\uff0c\u5176\u4e2d\u8fd8\u5305\u62ec LLM \u76d1\u63a7\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LangSmith<\/td>\n\u63d0\u4f9b\u7528\u4e8e\u8bb0\u5f55\u3001\u76d1\u63a7\u548c\u6539\u8fdb LLM \u5e94\u7528\u7a0b\u5e8f\u7684\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Weights<\/a> & Biases (W&B)<\/td>\nW&B \u63d0\u4f9b\u7528\u4e8e\u8ddf\u8e2a LLM \u6027\u80fd\u7684\u529f\u80fd\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Helicone<\/td>\n\u9762\u5411\u5f00\u53d1\u4eba\u5458\u7684\u5f00\u6e90 LLM \u53ef\u89c2\u6d4b\u6027\u5e73\u53f0\u3002\u7528\u4e8e\u76d1\u63a7\u3001\u6307\u6807\u3001\u8bc4\u4f30\u3001\u4ee3\u7406\u8ddf\u8e2a\u3001\u63d0\u793a\u7ba1\u7406\u3001\u6e38\u4e50\u573a\u7b49\u7684\u4e00\u884c\u96c6\u6210\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Evidently<\/td>\n\u4e00\u4e2a\u5f00\u6e90 ML \u548c LLM \u53ef\u89c2\u6d4b\u6027\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Phoenix<\/td>\n\u4e00\u4e2a\u4e13\u4e3a\u5b9e\u9a8c\u3001\u8bc4\u4f30\u548c\u6545\u969c\u6392\u9664\u800c\u8bbe\u8ba1\u7684\u5f00\u6e90 AI \u53ef\u89c2\u6d4b\u6027\u5e73\u53f0\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Observers<\/td>\n\u4e00\u4e2a\u7528\u4e8e AI \u53ef\u89c2\u6d4b\u6027\u7684\u8f7b\u91cf\u7ea7\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u63d0\u793a\u8bcd\u5de5\u7a0b<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
PCToolkit<\/td>\n\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u7edf\u4e00\u5373\u63d2\u5373\u7528\u63d0\u793a\u538b\u7f29\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Selective Context<\/td>\nSelective Context \u538b\u7f29\u7528\u6237\u7684\u63d0\u793a\u548c\u4e0a\u4e0b\u6587\uff0c\u4ee5\u5141\u8bb8 LLM\uff08\u4f8b\u5982 ChatGPT\uff09\u5904\u7406 2 \u500d\u4ee5\u4e0a\u7684\u5185\u5bb9\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLMLingua<\/td>\n\u7528\u4e8e\u538b\u7f29\u63d0\u793a\u4ee5\u52a0\u901f LLM \u63a8\u7406\u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
betterprompt<\/td>\n\u5728\u5c06 LLM \u63d0\u793a\u63a8\u9001\u5230\u751f\u4ea7\u73af\u5883\u4e4b\u524d\u5bf9\u5176\u8fdb\u884c\u6d4b\u8bd5\u7684\u5957\u4ef6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Promptify<\/td>\n\u4f7f\u7528 LLM \u89e3\u51b3 NLP \u95ee\u9898\uff0c\u5e76\u4f7f\u7528 Promptify \u8f7b\u677e\u4e3a GPT\u3001PaLM \u7b49\u6d41\u884c\u7684\u751f\u6210\u6a21\u578b\u751f\u6210\u4e0d\u540c\u7684 NLP \u4efb\u52a1\u63d0\u793a\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
PromptSource<\/td>\nPromptSource \u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u3001\u5171\u4eab\u548c\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u63d0\u793a\u7684\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
DSPy<\/td>\nDSPy \u662f\u7528\u4e8e\u7f16\u7a0b\uff08\u800c\u4e0d\u662f\u63d0\u793a\uff09\u8bed\u8a00\u6a21\u578b\u7684\u5f00\u6e90\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Py-priompt<\/td>\n\u63d0\u793a\u8bbe\u8ba1\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Promptimizer<\/td>\n\u63d0\u793a\u4f18\u5316\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u7ed3\u6784\u5316\u8f93\u51fa<\/h3>\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Instructor<\/a><\/td>\nPython \u5e93\uff0c\u7528\u4e8e\u5904\u7406\u6765\u81ea\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u7ed3\u6784\u5316\u8f93\u51fa\u3002\u5b83\u6784\u5efa\u4e8e Pydantic \u4e4b\u4e0a\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u3001\u900f\u660e\u4e14\u7528\u6237\u53cb\u597d\u7684 API\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
XGrammar<\/td>\n\u4e00\u4e2a\u7528\u4e8e\u9ad8\u6548\u3001\u7075\u6d3b\u548c\u53ef\u79fb\u690d\u7684\u7ed3\u6784\u5316\u751f\u6210\u7684\u5f00\u6e90\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Outlines<\/a><\/td>\n\u5f3a\u5927\u7684\uff08\u7ed3\u6784\u5316\uff09\u6587\u672c\u751f\u6210<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Guidance<\/td>\nGuidance \u662f\u4e00\u79cd\u7528\u4e8e\u6307\u5bfc\u8bed\u8a00\u6a21\u578b\u7684\u6709\u6548\u7f16\u7a0b\u8303\u4f8b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LMQL<\/td>\n\u4e00\u79cd\u7528\u4e8e\u7ea6\u675f\u5f15\u5bfc\u548c\u9ad8\u6548 LLM \u7f16\u7a0b\u7684\u8bed\u8a00\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Jsonformer<\/td>\n\u4e00\u79cd\u4ece\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7ed3\u6784\u5316 JSON \u7684\u4e07\u65e0\u4e00\u5931\u7684\u65b9\u6cd5\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u5b89\u5168<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
JailbreakEval<\/td>\n\u7528\u4e8e\u8bc4\u4f30\u8d8a\u72f1\u5c1d\u8bd5\u7684\u81ea\u52a8\u8bc4\u4f30\u5668\u96c6\u5408\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
EasyJailbreak<\/td>\n\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684 Python \u6846\u67b6\uff0c\u7528\u4e8e\u751f\u6210\u5bf9\u6297\u6027\u8d8a\u72f1\u63d0\u793a\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Guardrails<\/td>\n\u4e3a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u6dfb\u52a0\u62a4\u680f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLM Guard<\/td>\nLLM \u4ea4\u4e92\u7684\u5b89\u5168\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
AuditNLG<\/td>\nAuditNLG \u662f\u4e00\u4e2a\u5f00\u6e90\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u964d\u4f4e\u4e0e\u4f7f\u7528\u751f\u6210\u5f0f AI \u7cfb\u7edf\u8fdb\u884c\u8bed\u8a00\u76f8\u5173\u7684\u98ce\u9669\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
NeMo Guardrails<\/td>\nNeMo Guardrails \u662f\u4e00\u4e2a\u5f00\u6e90\u5de5\u5177\u5305\uff0c\u7528\u4e8e\u8f7b\u677e\u5730\u4e3a\u57fa\u4e8e LLM \u7684\u5bf9\u8bdd\u7cfb\u7edf\u6dfb\u52a0\u53ef\u7f16\u7a0b\u62a4\u680f\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Garak<\/td>\nLLM \u6f0f\u6d1e\u626b\u63cf\u5668<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

LLM \u5d4c\u5165\u6a21\u578b<\/h3>\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Sentence-Transformers<\/td>\n\u5148\u8fdb\u7684\u6587\u672c\u5d4c\u5165\u6a21\u578b<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Model2Vec<\/td>\n\u5feb\u901f\u7684\u5148\u8fdb\u9759\u6001\u5d4c\u5165\u6a21\u578b<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Text Embedding Inference<\/td>\n\u7528\u4e8e\u6587\u672c\u5d4c\u5165\u6a21\u578b\u7684\u9ad8\u901f\u63a8\u7406\u89e3\u51b3\u65b9\u6848\u3002TEI \u4e3a\u6700\u6d41\u884c\u7684\u6a21\u578b\uff08\u5305\u62ec FlagEmbedding\u3001Ember\u3001GTE \u548c E5\uff09\u5b9e\u73b0\u4e86\u9ad8\u6027\u80fd\u63d0\u53d6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u5176\u4ed6<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e93\u540d\u79f0<\/th>\n\u63cf\u8ff0<\/th>\n\u94fe\u63a5<\/th>\n<\/tr>\n<\/thead>\n
Text Machina<\/td>\n\u4e00\u4e2a\u6a21\u5757\u5316\u548c\u53ef\u6269\u5c55\u7684 Python \u6846\u67b6\uff0c\u65e8\u5728\u5e2e\u52a9\u521b\u5efa\u9ad8\u8d28\u91cf\u3001\u65e0\u504f\u89c1\u7684\u6570\u636e\u96c6\uff0c\u4ee5\u6784\u5efa\u7528\u4e8e MGT \u76f8\u5173\u4efb\u52a1\uff08\u5982\u68c0\u6d4b\u3001\u5f52\u56e0\u548c\u8fb9\u754c\u68c0\u6d4b\uff09\u7684\u7a33\u5065\u6a21\u578b\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLM Reasoners<\/td>\n\u7528\u4e8e\u9ad8\u7ea7\u5927\u578b\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u7684\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
EasyEdit<\/td>\n\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u77e5\u8bc6\u7f16\u8f91\u6846\u67b6\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
CodeTF<\/td>\nCodeTF\uff1a\u7528\u4e8e\u5148\u8fdb\u4ee3\u7801 LLM \u7684\u4e00\u7ad9\u5f0f Transformer \u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
spacy-llm<\/td>\n\u6b64\u5305\u5c06\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u96c6\u6210\u5230 spaCy \u4e2d\uff0c\u5177\u6709\u7528\u4e8e\u5feb\u901f\u539f\u578b\u8bbe\u8ba1\u548c\u63d0\u793a\u7684\u6a21\u5757\u5316\u7cfb\u7edf\uff0c\u5e76\u5c06\u975e\u7ed3\u6784\u5316\u54cd\u5e94\u8f6c\u6362\u4e3a\u5404\u79cd NLP \u4efb\u52a1\u7684\u7a33\u5065\u8f93\u51fa\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
pandas-ai<\/td>\n\u4e0e\u7528\u6237\u7684\u6570\u636e\u5e93\uff08SQL\u3001CSV\u3001pandas\u3001polars\u3001MongoDB\u3001NoSQL \u7b49\uff09\u804a\u5929\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLM Transparency Tool<\/td>\n\u4e00\u4e2a\u5f00\u6e90\u4ea4\u4e92\u5f0f\u5de5\u5177\u5305\uff0c\u7528\u4e8e\u5206\u6790\u57fa\u4e8e Transformer \u7684\u8bed\u8a00\u6a21\u578b\u7684\u5185\u90e8\u5de5\u4f5c\u539f\u7406\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Vanna<\/td>\n\u4e0e\u7528\u6237\u7684 SQL \u6570\u636e\u5e93\u804a\u5929\u3002\u901a\u8fc7\u4f7f\u7528 RAG \u7684 LLM \u5b9e\u73b0\u51c6\u786e\u7684\u6587\u672c\u5230 SQL \u751f\u6210\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
mergekit<\/td>\n\u7528\u4e8e\u5408\u5e76\u9884\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u5de5\u5177\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
MarkLLM<\/td>\n\u4e00\u4e2a LLM \u6c34\u5370\u5f00\u6e90\u5de5\u5177\u5305\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLMSanitize<\/td>\n\u4e00\u4e2a\u7528\u4e8e NLP \u6570\u636e\u96c6\u548c\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u4e2d\u6c61\u67d3\u68c0\u6d4b\u7684\u5f00\u6e90\u5e93\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
Annotateai<\/td>\n\u4f7f\u7528 LLM \u81ea\u52a8\u6ce8\u91ca\u8bba\u6587\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n
LLM Reasoner<\/td>\n\u8ba9\u4efb\u4f55 LLM \u50cf OpenAI o1 \u548c DeepSeek<\/a> R1 \u4e00\u6837\u601d\u8003\u3002<\/td>\n\u94fe\u63a5<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6280\u672f\u65e5\u65b0\u6708\u5f02\uff0c\u5404\u79cd\u5de5\u5177\u5e93\u5c42\u51fa\u4e0d\u7a77\u3002\u4e3a\u4e86\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u597d\u5730\u5e94\u5bf9 LLM \u5f00\u53d1\u7684\u6311\u6218\uff0c\u672c\u6587\u6574\u7406\u4e86\u4e00\u4efd\u5305\u542b 120 \u591a\u4e2a\u5b9e\u7528 LLM \u5e93\u7684\u5de5\u5177\u7bb1\uff0c\u5e76\u6309\u529f\u80fd\u7c7b\u522b\u8fdb\u884c\u5212\u5206\uff0c\u65b9\u4fbf\u5de5\u7a0b\u5e08\u4eec\u5feb\u901f\u67e5\u627e\u548c\u5e94\u7528\u3002  …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-28836","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/28836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=28836"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/28836\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=28836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=28836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=28836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}