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Model Training Data Last Updated Date
Hi. Hoping someone can shed some light on something for me regarding published training data dates. I just deployed a gpt-4.1-nano model. Within the Azure AI Foundry when you are in the Model Catalog area and select the gpt-4.1-nano model it shows that the training data was last updated May 2024. However, after deploying the model (version:2025-04-14) and going into the chat playground and using that model when it was trained to it gives me a response of October 2023. Can someone help me with the discrepancy here? Any I misunderstanding something? I want to make sure we know how current the data if we use a particular model within our application. Thanks. AlanSolvedAlan WhitehouseJul 03, 2025Copper Contributor436Views0likes4CommentsIntroducing Azure AI Models: The Practical, Hands-On Course for Real Azure AI Skills
Hello everyone, Today, I’m excited to share something close to my heart. After watching so many developers, including myself—get lost in a maze of scattered docs and endless tutorials, I knew there had to be a better way to learn Azure AI. So, I decided to build a guide from scratch, with a goal to break things down step by step—making it easy for beginners to get started with Azure, My aim was to remove the guesswork and create a resource where anyone could jump in, follow along, and actually see results without feeling overwhelmed. Introducing Azure AI Models Guide. This is a brand new, solo-built, open-source repo aimed at making Azure AI accessible for everyone—whether you’re just getting started or want to build real, production-ready apps using Microsoft’s latest AI tools. The idea is simple: bring all the essentials into one place. You’ll find clear lessons, hands-on projects, and sample code in Python, JavaScript, C#, and REST—all structured so you can learn step by step, at your own pace. I wanted this to be the resource I wish I’d had when I started: straightforward, practical, and friendly to beginners and pros alike. It’s early days for the project, but I’m excited to see it grow. If you’re curious.. Check out the repo at https://github.com/DrHazemAli/Azure-AI-Models Your feedback—and maybe even your contributions—will help shape where it goes next!SolvedhazemJun 22, 2025Brass Contributor705Views1like5Comments
Azure ML Studio - Attached Compute Challenges
Hello community, I'm new to ML services and have been exploring the ML Studio the last while to understand it better from an infrastructure point of view. I understand that I should be able to attach an existing VM (Ubuntu) running in my Azure environment, and use this as a compute resource in the ML Studio. I've come across two challenges, and I would appreciate your help. I'm sure perhaps I am just missing something small. Firstly, I would like to connect to my virtual machine over a private endpoint. What I have tried is to create the private endpoint to my VM following the online guidance (https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-private-link?view=azureml-api-2&tabs=azure-portal). Both the VM and the endpoints are on the same subnet on the same vNet, yet, it is unable to attach the compute. It seems to still default to the public IP of the VM, which is not what I am after. I have the SSH port configured to port 22 still, and I have tried several options on my NSG to configure the source and destination information (Service Tags, IP address, etc.), but with no luck. Am I missing something? Is attaching an existing VM for compute over a private endpoint a supported configuration, or does the private endpoint only support compute created out of the ML Studio compute section? Secondly, if I forget about the private endpoint and attach the VM directly over internet (not desired, obviously), it is not presented to me as a compute option when I try to run my Jupyter Notebook. I only have "Azure Machine Learning Serverless Spark" as a compute option, or any compute that was indeed created through the ML Studio. I don't have the option to select the existing VM that was attached from Azure. Again, is there a fundamental step or limitation that I am overlooking? Thanks in advanceSolvedSebastiaanRMay 28, 2025Brass Contributor263Views0likes3CommentsUnderstanding Azure OpenAI Service Provisioned Reservations
Hello Team, We are building a Azure OpenAI based finetuned model making use of GPT 4o-mini for long run. Wanted to understand the costing, here we came up with the following question over Azure OpenAI Service Provisioned Reservations plan PTU units. Need to understand how it works: Is there any Token Quota Limit Provisioned finetuned model deployment? How many finetuned model with Provisioned capacity can be deployed under the plan, How will the pricing affect if we deploy multiple finetune model? Model Deployment - GPT 4o-mini finetuned Region - North Central US We are doing it for our enterprise customer, kindly help us to resolve this issue.SolvedsachinsMar 28, 2025Copper Contributor724Views1like6Comments
Query
Hello everyone, I have started my BTech in data science and AI, and my ultimate goal is to be an AI engineer can anyone please advise me on the path to achieving it?Solvedakhil_007Jan 01, 2025Copper Contributor143Views0likes1Comment
Talking to your relational Database using GPT not just to one table or view, but to multiple v/t
Dear Community, What is the best solution for a chat app that can interact with a relational database, not just limited to a single table or view? Thank you!Solvedsgoswami3Aug 28, 2024Copper Contributor370Views0likes1Comment
Responsible AI
Hi, listed to the recent Responsible AI session at Build. Is it an oversight on MS part that the responsible AI dashboard and score is only in ML Studio and not Open AI studio? What responsible AI tools are available in Open AI studio Content Safety Studio really interested in picking the right tool. many thank steve mesamekiSolvedstevedorwardMay 31, 2024Copper Contributor515Views0likes1CommentSemantic search in Azure AI Studio
Hi everyone I've setup an Azure AI Search index that points to a SharePoint library and connected this to Azure AI Studio so a Chat-GPT model can be used to query the documents in the library. This all works fine if I use the Keyword search type in the chat playground, but if I change this to Semantic I get the following error: Semantic Ranker is enabled in my Azure AI Search service instance and all works fine when tested in the search settings in the Azure portal. The error isn't giving me any further information so I'm not quire sure where I can go from here? Any assistance would be gratefully received. Thanks in advance.Solvedgjayne84May 21, 2024Brass Contributor963Views1like1CommentUpdating the pricing tier of my Azure Search Service
I have been testing out various Teams hosted bots on my Office 365 dev tenant . From a cost perspective I want to use minimal resources so looking to Free tier whilst I develop and test. Is it possible to update the pricing tier (SKU) to free (from Basic), on my search service below, say using the Azure CLI beta ( or Azure PowerShell)? az search service list --resource-group "MyResourceGroup" "name": "???????????-search", "partitionCount": 1, "provisioningState": "succeeded", "replicaCount": 1, "resourceGroup": "MyResourceGroup", "sku": { "name": "basic" }, "status": "running", I can see the "create" command does have the "Sku" parameter but the "update" command does not which is why this doesn't work: az search service update --resource-group "MyResoucegroup" --name ?????????-search --sku free I haven't found a way on the portal either.SolvedDaniel WesterdaleJul 18, 2023Iron Contributor29KViews1like2CommentsMicrosoft Build: Azure AI Challenge and Azure OpenAI license
In Summary: Several modules is https://learn.microsoft.com/en-au/training/challenges?id=12f32cf8-2cd8-42e1-97dd-001b4a042766 are related to Azure OpenAI Service and they require a license which cannot be obtained for a non-corporate email. Is there some kind of limited "educational" license that allows completing the learning modules? Details: The challenge is https://learn.microsoft.com/en-au/training/challenges?id=12f32cf8-2cd8-42e1-97dd-001b4a042766 and an example module is https://learn.microsoft.com/en-au/training/paths/develop-ai-solutions-azure-openai/. There, in the 2nd unit, it says: > The first step in building a generative AI solution with Azure OpenAI is to provision an Azure OpenAI resource in your Azure subscription. Azure OpenAI Service is currently in limited access. Users need to apply for service access at https://aka.ms/oai/access Unfortunately the license requesting page says - in red - that "Applications submitted with a personal email address (e.g. http://gmail.com, http://hotmail.com, http://outlook.com, etc.) will be DENIED." and it requires your company's details.SolvedtymtamJun 06, 2023Copper Contributor3.1KViews2likes1Comment
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