How to call image-to-text DIAL applications
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diff --git a/Cookbook/dial-cookbook/examples/how_to_call_text_to_image_applications/index.html b/Cookbook/dial-cookbook/examples/how_to_call_text_to_image_applications/index.html
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--- a/Cookbook/dial-cookbook/examples/how_to_call_text_to_image_applications/index.html
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diff --git a/Cookbook/dial-cookbook/examples/how_to_call_text_to_text_applications/index.html b/Cookbook/dial-cookbook/examples/how_to_call_text_to_text_applications/index.html
index bcbd6d01..b67f157a 100644
--- a/Cookbook/dial-cookbook/examples/how_to_call_text_to_text_applications/index.html
+++ b/Cookbook/dial-cookbook/examples/how_to_call_text_to_text_applications/index.html
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diff --git a/Deployment/Bedrock Model Deployment/index.html b/Deployment/Bedrock Model Deployment/index.html
index 38b13214..e5b1fa7c 100644
--- a/Deployment/Bedrock Model Deployment/index.html
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- In this instruction, you will learn how to create Bedrock model in AWS and use it in AI DIAL config. Refer to AWS Documentation to learn about this model. From this instruction, you will learn how to create an Azure OpenAI model GPT-3.5-turbo/GPT-4 and use it in AI DIAL config. In this scenario, the adapter uses Azure user-assigned managed identity. In such a configuration, there's no need to setting the Azure OpenAI API key in the AI DIAL Core configuration file. Authentication takes place on the adapter level.How to call text-to-image DIAL applications
How to call text-to-text DIAL applications
Bedrock Model Deployment
+Bedrock Model Deployment
OpenAI Model Deployment
+OpenAI Model Deployment
Table of Contents
Microsoft Entra Workload ID with Azure Kubernetes Service.
openai:
enabled: true
podLabels:
azure.workload.identity/use: "true"
serviceAccount:
create: true
annotations:
azure.workload.identity/client-id: "client-id"openai:
enabled: true
podLabels:
azure.workload.identity/use: "true"
serviceAccount:
create: true
annotations:
azure.workload.identity/client-id: "client-id"