Azure OpenAI GPT-4 Turbo with Vision#
Introduction#
Azure OpenAI GPT-4 Turbo with Vision tool enables you to leverage your AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.
Prerequisites#
Create AzureOpenAI resources
Create Azure OpenAI resources with instruction
Create a GPT-4 Turbo with Vision deployment
Browse to Azure OpenAI Studio and sign in with the credentials associated with your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
Under Management select Deployments and Create a GPT-4 Turbo with Vision deployment by selecting model name:
gpt-4and model versionvision-preview.
Connection#
Setup connections to provisioned resources in prompt flow.
Type |
Name |
API KEY |
API Type |
API Version |
|---|---|---|---|---|
AzureOpenAI |
Required |
Required |
Required |
Required |
Inputs#
Name |
Type |
Description |
Required |
|---|---|---|---|
connection |
AzureOpenAI |
the AzureOpenAI connection to be used in the tool |
Yes |
deployment_name |
string |
the language model to use |
Yes |
prompt |
string |
The text prompt that the language model will use to generate it’s response. |
Yes |
max_tokens |
integer |
the maximum number of tokens to generate in the response. Default is 512. |
No |
temperature |
float |
the randomness of the generated text. Default is 1. |
No |
stop |
list |
the stopping sequence for the generated text. Default is null. |
No |
top_p |
float |
the probability of using the top choice from the generated tokens. Default is 1. |
No |
presence_penalty |
float |
value that controls the model’s behavior with regards to repeating phrases. Default is 0. |
No |
frequency_penalty |
float |
value that controls the model’s behavior with regards to generating rare phrases. Default is 0. |
No |
detail |
string |
configure how the model interprets and processes images, default is “auto”. Read more |
No |
Outputs#
Return Type |
Description |
|---|---|
string |
The text of one response of conversation |