Introduction

The Microsoft team has recently launched an Open AI challenge, in which a developer can learn how to build Azure AI solutions and apps.

Prerequisite

Getting Started

Step 1: Navigate to the Azure Portal

Search for Azure Open AI, and fill out the following details.

Step 2: Choose Network

Step 3: Add Tags

For this exercise, tag names are not required. But in a production environment, it should be added as it's a best practice.

Step 4: Review & Create

Step 5: Move to Open AI Studio

On the left side open Models > Select “gpt-35-turbo” > Deploy as highlighted below.

The below model list will be populated based on the access provided by the Microsoft team.

Azure OpenAI Includes:

  1. GPT-4 models: Latest generation for natural language and code completions from prompts.

  2. GPT 3.5 models: Generate language and code completions, with turbo versions for chat interactions.

  3. Embedding models: Convert text to numeric vectors, useful for language analytics.

  4. DALL-E models (preview): Generate images from natural language prompts, automatically available without explicit deployment in Azure OpenAI Studio.

Step 6: Open Playground

Step 7: Try Prompts

Input the following prompt in the chat to see if the service is working or not. It may take 5–10 minutes, please be patient.

hi can you tell me about viral kohli

Please find below the response to the above prompt.

An Alternative Approach

The whole setup can also be done via the CLI using the following command

az cognitiveservices account deployment create \
   -g OAIResourceGroup \
   -n MyOpenAIResource \
   --deployment-name MyModel \
   --model-name gpt-35-turbo \
   --model-version "0301"  \
   --model-format OpenAI \
   --sku-name "Standard" \
   --sku-capacity 1

I haven’t tried the CLI approach but just wanted to mention the other alternative.

Playground Parameters

Play with playground parameters to change the performance of the model.

In This Module, We Learned

C# Programming🚀

Thank you for being a part of the C# community! Before you leave:

If you’ve made it this far, please show your appreciation with a clap, and follow the author! 👏️️

Follow us: X | LinkedIn | Dev.to | Hashnode | Newsletter | Tumblr

Visit our other platforms: GitHub | Instagram | Tiktok | Quora | Daily.dev


Also published here