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https://github.com/ssukhpinder/azureopenai
Sample for testing Azure Open AI GPT3 Turbo Model
https://github.com/ssukhpinder/azureopenai
ai artificial-intelligence azure chatgpt chatgpt3 csharp dalle-2 dalle-3 dalle2 dotnet dotnet-core microsoft microsoft-azure openai openai-api
Last synced: about 2 months ago
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Sample for testing Azure Open AI GPT3 Turbo Model
- Host: GitHub
- URL: https://github.com/ssukhpinder/azureopenai
- Owner: ssukhpinder
- License: apache-2.0
- Created: 2024-03-26T16:47:48.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-03-30T09:38:53.000Z (9 months ago)
- Last Synced: 2024-03-30T10:28:15.263Z (9 months ago)
- Topics: ai, artificial-intelligence, azure, chatgpt, chatgpt3, csharp, dalle-2, dalle-3, dalle2, dotnet, dotnet-core, microsoft, microsoft-azure, openai, openai-api
- Homepage: https://medium.com/c-sharp-progarmming
- Size: 127 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
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](https://portal.azure.com/)
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 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.
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