找到已安装的 "Zotero GPT",点击旁边的 "首选项" (Preferences) 或 "选项" (Options) 按钮。 输入API Key: 在设置界面中,找到 "OpenAI API Key" 或类似名称的输入框,粘贴你之前保存好的 OpenAI API Secret Key。 选择模型 (Model): 你可以选择使用的 GPT 模型,例如 gpt-3.5-turbo(速度快,成本低)或 ...
Introducing GPT-4.1 in the API Product18 min read Your browser does not support the video tag. Introducing 4o Image Generation Product6 min read Catching halibut with ChatGPT ChatGPT4 min read Latest news View all Introducing our latest image generation model in the API ...
"content-type":"application/json",},body:JSON.stringify({model:"gpt-4",messages:[{role:"user",content:"hello"}],stream:true,}),};fetch("https://api.acedata.cloud/openai/chat/completions",options).then((response)=>response.json()).then((response)=>console.log(response)).catch...
import openai from tqdm import tqdm # openai.api_base = "https:///v1" openai.api_key = "sk-xxxx" for chunk in tqdm(chunks): query_embedding_response = openai.Embedding.create( model="text-embedding-ada-002", input=chunk, ) embedding = query_embedding_response['data'][0]['embedding'...
ai.openai.api-key=sk-xxxxxx # 调用OpenAI接口时的基础地址,如果用的是chatanywhere的API Key,这里就要用chatanywhere提供的地址, # 如果用的是OpenAI的原生API Key,就不用配置这个参数 spring.ai.openai.base-url=https://api.chatanywhere.tech # 用到的模型 spring.ai.openai.chat.options.model=gpt-3.5-...
根据OpenAPI 规范,OpenAPI 的格式可以书写为 JSON 或 YAML但 API Request 和 Response 的消息体的格式不局限于 JSON 和 YAML。 现在很多配置文件(比如Nginx和大部分脚本语言的配置文件)都习惯使用 JSON 的方式。在 Springboot 中,推荐使用 properties 或者 YAML 文件来完成配置,但是对于较复杂的数据结构,YAML 远远优...
(azureOpenaiKey)) .buildClient(); List<String> prompt =newArrayList<>(); prompt.add("When was Microsoft founded?"); Completions completions = client.getCompletions(deploymentOrModelId,newCompletionsOptions(prompt)); System.out.printf("Model ID=%s is created at %s.%n", completions.getId(), ...
} gotReply := false resp, err := client.GetChatCompletions(context.TODO(), azopenai.ChatCompletionsOptions{ // This is a conversation in progress. // All messages count against token usage for this API. Messages: messages, DeploymentName: &modelDeploymentID, MaxTokens: &maxTokens, }, nil...
g., `BLOCK_SIZE_M`) and compilation options (e.g., `num_warps`) to try # - An auto-tuning *key* whose change in values will trigger evaluation of all the # provided configs @triton.autotune( configs=[ triton.Config({'BLOCK_SIZE_M': 128, 'BLOCK_SIZE_N': 256, 'BLOCK_SIZE_K'...
The next step provides options to configure the model to use validation data in the training process. If you don't want to use validation data, you can choose Next to continue to the advanced options for the model. Otherwise, if you have a validation dataset, you can either choose existing...