Learnings include creating Azure Open AI services, deploying GPT models, interacting with GPT in Playground, and optimizing model performance with parameters.
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
Experience working with Azure and Azure portals.
An understanding of generative AI.
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:
GPT-4 models: Latest generation for natural language and code completions from prompts.
GPT 3.5 models: Generate language and code completions, with turbo versions for chat interactions.
Embedding models: Convert text to numeric vectors, useful for language analytics.
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 learnt
How to create an Azure Open AI Service.
How to deploy GPT models.
How to converse with GPT in the Playground.
Different approaches to deploying an Open AI service on Azure.
Playground parameters are available to improve the performance of the model.
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
More content at C# Programming
Top comments (0)