问题描述 An error occurs when using the gpt-4-vision-preview model 复现步骤 预期结果 相关截图 bind_request_body_failed json: cannot unmarshal array into Go struct field Message.messages.content of type string (request id: 20231221170013440826620UJmYbqu8)
This only works with the Model.GPT4_Vision model. Please see https://platform.openai.com/docs/guides/vision for more information and limitations. // the simplest form var result = await api.Chat.CreateChatCompletionAsync("What is the primary non-white color in this logo?", ImageInput.From...
Send a POST request to https://{RESOURCE_NAME}.openai.azure.com/openai/deployments/{DEPLOYMENT_NAME}/chat/completions?api-version=2023-12-01-preview where RESOURCE_NAME is the name of your Azure OpenAI resource DEPLOYMENT_NAME is the name of your GPT-4 Turbo with Vision model deployment Requi...
Model retirements Pricing What's new Programming languages/SDKs Azure OpenAI FAQ Azure OpenAI in Azure Government Quickstarts Concepts How-to API version lifecycle Assistants (preview) Batch Completions & chat completions Reasoning models GPT-35-Turbo & GPT-4 Vision-enabled chats DALL-E Function cal...
The version gpt-35-turbo is equivalent to the gpt-3.5-turbo model from OpenAI.Unlike previous GPT-3 and GPT-3.5 models, the gpt-35-turbo model and the gpt-4 and gpt-4-32k models will continue to be updated. When you create a deployment of...
GPT-4 turbo with vision fails to outperform text-only GPT-4 turbo in the Japan diagnostic radiology board examination: correspondencedoi:10.1007/s11604-024-01600-9Kleebayoon, AmnuayWiwanitkit, VirojSpringer Nature SingaporeJapanese Journal of Radiology...
VisionGPT's Response: Explore the power of AI like never before with VisionGPT, a revolutionary mobile app that leverages the cutting-edge technology of GPT 3.5/4 and the expansive knowledge of the internet to provide instant answers to any question in the universe!
model is trained to break down prompts into a series of steps to strengthen its reasoning capabilities and deliver better responses, according to Google. From the model’s thought process, Users can see why it responded in a certain way, what its assumptions were, and trace the model's line...
Synthetic response data can be generated by giving Nemotron-4-340B-Instruct domain-specific input queries. This enables the model to generate responses that are aligned with the input query in a format similar to those used in theInstruction Tuning with GPT-4paper. These responses can be genera...
Vision); Uri linkToPictureOfOrange = new("https://raw.githubusercontent.com/openai/openai-dotnet/refs/heads/main/examples/Assets/images_orange.png");Next, create a new assistant with a vision-capable model like gpt-4o and a thread with the image information referenced:...