{"id":19846534,"url":"https://github.com/ssukhpinder/azureopenai","last_synced_at":"2026-05-08T07:32:02.949Z","repository":{"id":229975624,"uuid":"777868675","full_name":"ssukhpinder/AzureOpenAI","owner":"ssukhpinder","description":"Sample for testing Azure Open AI GPT3 Turbo Model","archived":false,"fork":false,"pushed_at":"2024-03-30T09:38:53.000Z","size":130,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-20T11:44:31.816Z","etag":null,"topics":["ai","artificial-intelligence","azure","chatgpt","chatgpt3","csharp","dalle-2","dalle-3","dalle2","dotnet","dotnet-core","microsoft","microsoft-azure","openai","openai-api"],"latest_commit_sha":null,"homepage":"https://medium.com/c-sharp-progarmming","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ssukhpinder.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":"ssukhpinder","buy_me_a_coffee":"sukhpindersingh","custom":"https://medium.com/c-sharp-progarmming"}},"created_at":"2024-03-26T16:47:48.000Z","updated_at":"2024-06-20T17:47:27.000Z","dependencies_parsed_at":"2024-03-30T10:28:06.410Z","dependency_job_id":null,"html_url":"https://github.com/ssukhpinder/AzureOpenAI","commit_stats":null,"previous_names":["ssukhpinder/azureopenai"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ssukhpinder/AzureOpenAI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssukhpinder%2FAzureOpenAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssukhpinder%2FAzureOpenAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssukhpinder%2FAzureOpenAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssukhpinder%2FAzureOpenAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ssukhpinder","download_url":"https://codeload.github.com/ssukhpinder/AzureOpenAI/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssukhpinder%2FAzureOpenAI/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32770990,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T02:36:36.067Z","status":"ssl_error","status_checked_at":"2026-05-08T02:36:07.210Z","response_time":54,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","azure","chatgpt","chatgpt3","csharp","dalle-2","dalle-3","dalle2","dotnet","dotnet-core","microsoft","microsoft-azure","openai","openai-api"],"created_at":"2024-11-12T13:11:45.246Z","updated_at":"2026-05-08T07:32:02.918Z","avatar_url":"https://github.com/ssukhpinder.png","language":null,"funding_links":["https://github.com/sponsors/ssukhpinder","https://buymeacoffee.com/sukhpindersingh","https://medium.com/c-sharp-progarmming"],"categories":[],"sub_categories":[],"readme":"Learnings include creating Azure Open AI services, deploying GPT models, interacting with GPT in Playground, and optimizing model performance with parameters.\n\n## Introduction\n\nThe Microsoft team has recently launched an Open AI challenge, in which a developer can learn how to build Azure AI solutions and apps.\n\n### Prerequisite\n\n* Experience working with Azure and Azure portals.\n\n* An understanding of generative AI.\n\n## Getting Started\n\n### Step 1: Navigate to the [Azure Portal](https://portal.azure.com/)\n\nSearch for Azure Open AI and fill out the following details\n\n![](https://cdn-images-1.medium.com/max/2000/1*xws3eWBGkR6GfM_axEhVRw.png)\n\n### Step 2: Choose Network\n\n![](https://cdn-images-1.medium.com/max/2000/1*giSqBmyMaFjUqWgYdY01ug.png)\n\n### Step 3: Add Tags\n\nFor this exercise tag names are not required. But in a production environment, it should be added as it's a best practice.\n\n![](https://cdn-images-1.medium.com/max/2000/1*fGb9cRt0YUNd3vvVskzETg.png)\n\n### Step 4: Review \u0026 Create\n\n![](https://cdn-images-1.medium.com/max/2000/1*xKIonQki46NWUxpmfzI2_g.png)\n\n### Step 5: Move to Open AI Studio\n\n![](https://cdn-images-1.medium.com/max/3646/1*0LQLkFiFC-EiSraIeA7MNQ.png)\n\nOn the left side open Models \u003e Select “gpt-35-turbo” \u003e Deploy as highlighted below\n\nThe below model list will be populated based on the access provided by the Microsoft team.\n\n### Azure OpenAI includes:\n\n 1. GPT-4 models: Latest generation for natural language and code completions from prompts.\n\n 2. GPT 3.5 models: Generate language and code completions, with turbo versions for chat interactions.\n\n 3. Embedding models: Convert text to numeric vectors, useful for language analytics.\n\n 4. DALL-E models (preview): Generate images from natural language prompts, automatically available without explicit deployment in Azure OpenAI Studio.\n\n![](https://cdn-images-1.medium.com/max/2886/1*bUF748tbzBBpaSxri-4Dsg.png)\n\n### Step 6: Open Playground\n\n![](https://cdn-images-1.medium.com/max/2622/1*i_QvvVmnvnz0_RScCt7ruA.png)\n\n### Step 7: Try Prompts\n\nInput the following prompt in the chat to see if the service is working or not. It may take 5–10 minutes, please be patient.\n\u003e # hi can you tell me about viral kohli\n\nPlease find below the response to the above prompt.\n\n![](https://cdn-images-1.medium.com/max/2000/1*RUVtCr0GxOkirz4xRlXZrg.png)\n\n### An alternative approach\n\nThe whole setup can also be done via the CLI using the following command\n\n    az cognitiveservices account deployment create \\\n       -g OAIResourceGroup \\\n       -n MyOpenAIResource \\\n       --deployment-name MyModel \\\n       --model-name gpt-35-turbo \\\n       --model-version \"0301\"  \\\n       --model-format OpenAI \\\n       --sku-name \"Standard\" \\\n       --sku-capacity 1\n\nI haven’t tried the CLI approach but just wanted to mention the other alternative.\n\n### Playground Parameters\n\nPlay with playground parameters to change the performance of the model.\n\n![](https://cdn-images-1.medium.com/max/2000/1*Jn1xwJdMGYp-lHVfvQ4UVg.png)\n\n### In this module, we learnt\n\n* How to create an Azure Open AI Service.\n\n* How to deploy GPT models.\n\n* How to converse with GPT in the Playground.\n\n* Different approaches to deploying an Open AI service on Azure.\n\n* Playground parameters are available to improve the performance of the model.\n\n### C# Programming🚀\n\nThank you for being a part of the C# community! 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