Describe the problem Use CUSTOM_MODELS to customize the displayed model. Among them, the ChatGPT model is not displayed in the order of variables, and the domestic model is in the correct order. I tried the "Clear All Data" button on the browser side, but there was no change; I tried ...
model="gpt-3.5-turbo"):messages=[{"role":"user","content":prompt}]response=openai.ChatComplet...
一旦训练结束,就可以通过查看任务细节看到模型名字“fine_tuned_model”,然后就可以调用使用了,如果请求错误,可以再等一会,因为其可能在正在加载。 import os import openai openai.api_key = os.getenv("OPENAI_API_KEY") completion = openai.ChatCompletion.create( model="ft:gpt-3.5-turbo:my-org:custom_suff...
fix(CUSTOM_MODELS):ChatGPTNextWeb#3349 Dependency chatStore otherwise… … 7d2ac5d abrahamgreyson pushed a commit to abrahamgreyson/gpt-web that referenced this issue Jan 12, 2024 fix(CUSTOM_MODELS):ChatGPTNextWeb#3349 Dependency chatStore otherwise… … Verified 455075f spongeBor pushed a c...
Actions部分则是配置ChatGPT调用外部API的行为。 Let your GPT retrieve information or take actions outside of ChatGPT. Custom Actions: You can make third-party APIs available to your GPT by providing details about the endpoints, parameters, and a description about how the model should use it. Act...
model = models.resnet18() # 定义输入数据 inputs = torch.randn(1, 3, 224, 224) # 使用thop计算第1到第3层的FLOPs和参数数量 flops, params = profile(model, inputs, custom_ops={ torch.nn.Conv2d: lambda x: (x.input_shape[0]*x.kernel_size[0]*x.kernel_size[1]*x.input_channels//...
安装OpenAI、GPT Index、PyPDF2和Gradio库 一旦我们建立了Python和Pip,现在是时候安装必要的库,以帮助我们用自定义的知识库训练人工智能聊天机器人。以下是要遵循的步骤。 1. 打开终端,运行下面的命令来安装OpenAI库。我们将使用它作为LLM(大型语言模型)来训练和创建一个人工智能聊天机器人。而且我们还将从OpenAI导入...
刚刚,OpenAI正式宣布,所有开发者都可以对GPT-3.5 Turbo进行微调。 初步结果表明,微调后的GPT-3.5 Turbo,在具体任务中,性能与GPT-4实力相当,甚至反超GPT-4。 最让人兴奋的是,「地表最强」的GPT-4微调版本,也将在几个月后正式上线。 这意味着,任何人可以根据需要,用「专有数据」对模型微调,标志着OpenAI开启了...
然后创建训练模型: openai api fine_tunes.create -t <TRAIN_FILE_ID_OR_PATH> -m <BASE_MODEL> 如:openai api fine_tunes.create -t ABC_prepared_train.jsonl -m curie 可以自定义模型名称--suffix: openai api fine_tunes.create -t test.jsonl -m ada --suffix "custom model name" ...
completion = openai.ChatCompletion.create(model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",messages=[{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello!"} print(completion.choices[0].message) ...