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docs: update llms usage
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csunny
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@ -8,7 +8,7 @@ msgid ""
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msgstr ""
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"Project-Id-Version: DB-GPT 0.1.0\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2023-06-14 21:47+0800\n"
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"POT-Creation-Date: 2023-06-14 22:33+0800\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Language: zh_CN\n"
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@ -19,11 +19,11 @@ msgstr ""
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"Content-Transfer-Encoding: 8bit\n"
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"Generated-By: Babel 2.12.1\n"
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#: ../../modules/llms.md:1 d924f8db422d4adaa4cf0e5d17ffe332
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#: ../../modules/llms.md:1 7737e31f5fcc4dc4be573a0bb73ca419
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msgid "LLMs"
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msgstr "大语言模型"
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#: ../../modules/llms.md:3 0fba9725074a4a72be1849e822e69365
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#: ../../modules/llms.md:3 8a8422f18e5d4c7aa1c1abf3a89f5d27
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#, python-format
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msgid ""
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"In the underlying large model integration, we have designed an open "
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@ -36,23 +36,23 @@ msgid ""
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"of use."
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msgstr "在底层大模型接入中，我们设计了开放的接口，支持对接多种大模型。同时对于接入模型的效果，我们有非常严格的把控与评审机制。对大模型能力上与ChatGPT对比，在准确率上需要满足85%以上的能力对齐。我们用更高的标准筛选模型，是期望在用户使用过程中，可以省去前面繁琐的测试评估环节。"
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#: ../../modules/llms.md:5 4f65b4e86d8d4b35b95ccac6a96f9b9c
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#: ../../modules/llms.md:5 c48ee3f4c51c49ae9dba40b1854dd483
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msgid "Multi LLMs Usage"
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msgstr "多模型使用"
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#: ../../modules/llms.md:6 246e4dbf1c634d9d9f2ab40b4883de73
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#: ../../modules/llms.md:6 ad44cef629f64bf4a4d72431568149fe
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msgid ""
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"To use multiple models, modify the LLM_MODEL parameter in the .env "
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"configuration file to switch between the models."
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msgstr "如果要使用不同的模型，请修改.env配置文件中的LLM MODEL参数以在模型之间切换。"
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#: ../../modules/llms.md:8 379d7756094f4ceda5ef163031b44e97
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#: ../../modules/llms.md:8 b08325fd36af4ef582c8a46685986aaf
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msgid ""
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"Notice: you can create .env file from .env.template, just use command "
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"like this:"
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msgstr "注意:你可以从 .env.template 创建 .env 文件。只需使用如下命令:"
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#: ../../modules/llms.md:14 3b46be1be08b41b0a4f2fa7ca1f09ccf
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#: ../../modules/llms.md:14 75ec45409dc84fd9bf3dfa98835d4645
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msgid ""
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"now we support models vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, "
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"guanaco-33b-merged, falcon-40b, gorilla-7b."
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@ -60,7 +60,29 @@ msgstr ""
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"现在我们支持的模型有vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, guanaco-33b-"
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"merged, falcon-40b, gorilla-7b."
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#: ../../modules/llms.md:16 f7e26b7e7a8349159b5c2e8ec2a1abc8
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#: ../../modules/llms.md:16 a6e99cf291e049c99e2d6813d03b0427
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msgid ""
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"if you want use other model, such as chatglm-6b, you just need update "
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".env config file."
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msgstr "如果你想使用其他模型，比如chatglm-6b, 仅仅需要修改.env 配置文件"
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#: ../../modules/llms.md:21 1b9a9aa83dc7420fb5c6c17c982abb20
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msgid "Run Model with cpu."
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msgstr "用CPU运行模型"
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#: ../../modules/llms.md:22 e6bdeeca06764ed583154ddc78f0f26e
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msgid ""
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"we alse support smaller models, like gpt4all. you can use it with "
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"cpu/mps(M1/M2), Download from [gpt4all model](https://gpt4all.io/models"
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"/ggml-gpt4all-j-v1.3-groovy.bin)"
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msgstr "我们也支持一些小模型，你可以通过CPU/MPS(M1、M2)运行, 模型下载[gpt4all](https://gpt4all.io/models"
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"/ggml-gpt4all-j-v1.3-groovy.bin)"
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#: ../../modules/llms.md:24 da5b575421ef45e7ad0f56fac151948d
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msgid "put it in the models path, then change .env config."
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msgstr "将模型放在models路径, 修改.env 配置文件"
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#: ../../modules/llms.md:29 03453d147e64404ab2c116faf0147b70
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msgid ""
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"DB-GPT provides a model load adapter and chat adapter. load adapter which"
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" allows you to easily adapt load different LLM models by inheriting the "
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@ -69,15 +91,15 @@ msgstr ""
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"DB-GPT提供了多模型适配器load adapter和chat adapter.load adapter通过继承BaseLLMAdapter类,"
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" 实现match和loader方法允许你适配不同的LLM."
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#: ../../modules/llms.md:18 83ad29017489428cad336894de9b1076
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#: ../../modules/llms.md:31 06b14da2931349859182473cd79abd68
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msgid "vicuna llm load adapter"
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msgstr "vicuna llm load adapter"
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#: ../../modules/llms.md:35 56997156cf994abbb12a586d435b1f6c
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#: ../../modules/llms.md:48 fe7be51e9e2240c1882ef05f94a39d90
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msgid "chatglm load adapter"
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msgstr "chatglm load adapter"
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#: ../../modules/llms.md:62 e0d989155ca443079402921fd15c1b75
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#: ../../modules/llms.md:75 3535d4e0a0b946a49ed13710ae0ae5f3
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msgid ""
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"chat adapter which allows you to easily adapt chat different LLM models "
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"by inheriting the BaseChatAdpter.you just implement match() and "
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@ -86,43 +108,43 @@ msgstr ""
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"chat "
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"adapter通过继承BaseChatAdpter允许你通过实现match和get_generate_stream_func方法允许你适配不同的LLM."
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#: ../../modules/llms.md:64 1cef2736bdd04dc89a3f9f20d6ab7e4e
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#: ../../modules/llms.md:77 b8dba90d769d45f090086fa044f22a96
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msgid "vicuna llm chat adapter"
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msgstr "vicuna llm chat adapter"
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#: ../../modules/llms.md:76 0976f3a966b24e458b968c4410e98403
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#: ../../modules/llms.md:89 f1d6e8145f704b5bbd1c49224c1e30f9
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msgid "chatglm llm chat adapter"
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msgstr "chatglm llm chat adapter"
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#: ../../modules/llms.md:89 138577d6f1714b4daef8b20108de983d
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#: ../../modules/llms.md:102 295e498cec384d9589431b1d5942f590
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msgid ""
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"if you want to integrate your own model, just need to inheriting "
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"BaseLLMAdaper and BaseChatAdpter and implement the methods"
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msgstr "如果你想集成自己的模型，只需要继承BaseLLMAdaper和BaseChatAdpter类，然后实现里面的方法即可"
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#: ../../modules/llms.md:92 23cd5154bf3a4e7bad206d5e06eef51e
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#: ../../modules/llms.md:104 07dd4757b06440fe8e9959446ff05892
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#, fuzzy
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msgid "Multi Proxy LLMs"
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msgstr "多模型使用"
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#: ../../modules/llms.md:93 db2739caa40342819965856d6fe83677
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#: ../../modules/llms.md:105 1b9fc9ce08b94f6493f4b6ce51878fe2
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msgid "1. Openai proxy"
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msgstr ""
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#: ../../modules/llms.md:94 5a305d769a144543b14f6e7099d0fc81
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#: ../../modules/llms.md:106 64e44b3c7c254034a1f72d2e362f4c4d
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msgid ""
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"If you haven't deployed a private infrastructure for a large model, or if"
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" you want to use DB-GPT in a low-cost and high-efficiency way, you can "
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"also use OpenAI's large model as your underlying model."
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msgstr ""
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#: ../../modules/llms.md:96 64d78d8e95174a329f67e638fc63786c
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#: ../../modules/llms.md:108 bca7d8118cd546ca8160400fe729be89
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msgid ""
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"If your environment deploying DB-GPT has access to OpenAI, then modify "
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"the .env configuration file as below will work."
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msgstr ""
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#: ../../modules/llms.md:104 f2bcf0c04da844e0b8fa2a3712d56439
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#: ../../modules/llms.md:116 7b84ddb937954787b4c8422f743afeda
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msgid ""
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"If you can't access OpenAI locally but have an OpenAI proxy service, you "
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"can configure as follows."
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@ -8,7 +8,7 @@ msgid ""
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msgstr ""
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"Project-Id-Version: DB-GPT 0.1.0\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2023-06-11 14:10+0800\n"
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"POT-Creation-Date: 2023-06-14 22:33+0800\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Language: zh_CN\n"
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@ -17,13 +17,13 @@ msgstr ""
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"MIME-Version: 1.0\n"
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"Content-Type: text/plain; charset=utf-8\n"
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"Content-Transfer-Encoding: 8bit\n"
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"Generated-By: Babel 2.11.0\n"
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"Generated-By: Babel 2.12.1\n"
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#: ../../modules/prompts.md:1 bb9583334e6948b98b59126234ae045f
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#: ../../modules/prompts.md:1 b9279c238c014a74aecbc75b5d3dc202
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msgid "Prompts"
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msgstr ""
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#: ../../modules/prompts.md:3 e6f5129e260c4a739a40115fff82850f
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#: ../../modules/prompts.md:3 f0c720c1c85b401cbc26ed0eb3f6e70e
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msgid ""
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"Prompt is a very important part of the interaction between the large "
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"model and the user, and to a certain extent, it determines the quality "
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@ -31,7 +31,9 @@ msgid ""
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" we will automatically optimize the corresponding prompt according to "
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"user input and usage scenarios, making it easier and more efficient for "
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"users to use large language models."
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msgstr "Prompt是与大模型交互过程中非常重要的部分，一定程度上Prompt决定了"
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"大模型生成答案的质量与准确性，在本的项目中，我们会根据用户输入与"
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"使用场景，自动优化对应的Prompt，让用户使用大语言模型变得更简单、更高效。"
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msgstr "Prompt是与大模型交互过程中非常重要的部分，一定程度上Prompt决定了大模型生成答案的质量与准确性，在本的项目中，我们会根据用户输入与使用场景，自动优化对应的Prompt，让用户使用大语言模型变得更简单、更高效。"
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#: ../../modules/prompts.md:5 6576d32e28a14be6a5d8180eed000aa7
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msgid "1.DB-GPT Prompt"
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msgstr ""
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