#azureml — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #azureml, aggregated by home.social.
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🚨 CVE-2025-49747: CRITICAL flaw in Azure Machine Learning (CVSS 9.9). Missing authorization lets authorized users escalate privileges over the network. Review access controls & monitor for signs of abuse. No patch yet—follow Microsoft advisories. https://radar.offseq.com/threat/cve-2025-49747-cwe-862-missing-authorization-in-mi-f7184950 #OffSeq #AzureML #CloudSecurity #CVE2025
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🚨 CVE-2025-49747: CRITICAL flaw in Azure Machine Learning (CVSS 9.9). Missing authorization lets authorized users escalate privileges over the network. Review access controls & monitor for signs of abuse. No patch yet—follow Microsoft advisories. https://radar.offseq.com/threat/cve-2025-49747-cwe-862-missing-authorization-in-mi-f7184950 #OffSeq #AzureML #CloudSecurity #CVE2025
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🚨 CVE-2025-49747: CRITICAL flaw in Azure Machine Learning (CVSS 9.9). Missing authorization lets authorized users escalate privileges over the network. Review access controls & monitor for signs of abuse. No patch yet—follow Microsoft advisories. https://radar.offseq.com/threat/cve-2025-49747-cwe-862-missing-authorization-in-mi-f7184950 #OffSeq #AzureML #CloudSecurity #CVE2025
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Announcing the General Availability of the VS Code extension for Azure Machine Learning.
#cloud #azure #ml #ai #machinelearning #vscode #azureml
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-the-general-availability-of-the-vs-code-extension-for/ba-p/4207781 -
Announcing the General Availability of the VS Code extension for Azure Machine Learning.
#cloud #azure #ml #ai #machinelearning #vscode #azureml
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-the-general-availability-of-the-vs-code-extension-for/ba-p/4207781 -
Announcing the General Availability of the VS Code extension for Azure Machine Learning.
#cloud #azure #ml #ai #machinelearning #vscode #azureml
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-the-general-availability-of-the-vs-code-extension-for/ba-p/4207781 -
Announcing the General Availability of the VS Code extension for Azure Machine Learning.
#cloud #azure #ml #ai #machinelearning #vscode #azureml
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-the-general-availability-of-the-vs-code-extension-for/ba-p/4207781 -
Announcing the General Availability of the VS Code extension for Azure Machine Learning.
#cloud #azure #ml #ai #machinelearning #vscode #azureml
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-the-general-availability-of-the-vs-code-extension-for/ba-p/4207781 -
Introduction to LLMOps, a methodology for operationalizing large language models (LLMs) like GPT-4 it involves prompt engineering, fine-tuning, and deploying LLMs for real-world applications. https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/an-introduction-to-llmops-operationalizing-and-managing-large/ba-p/3910996 #LLMOps #AzureML #MicrosoftAI #softcorpremium
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Introduction to LLMOps, a methodology for operationalizing large language models (LLMs) like GPT-4 it involves prompt engineering, fine-tuning, and deploying LLMs for real-world applications. https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/an-introduction-to-llmops-operationalizing-and-managing-large/ba-p/3910996 #LLMOps #AzureML #MicrosoftAI #softcorpremium
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Introduction to LLMOps, a methodology for operationalizing large language models (LLMs) like GPT-4 it involves prompt engineering, fine-tuning, and deploying LLMs for real-world applications. https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/an-introduction-to-llmops-operationalizing-and-managing-large/ba-p/3910996 #LLMOps #AzureML #MicrosoftAI #softcorpremium
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Introduction to LLMOps, a methodology for operationalizing large language models (LLMs) like GPT-4 it involves prompt engineering, fine-tuning, and deploying LLMs for real-world applications. https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/an-introduction-to-llmops-operationalizing-and-managing-large/ba-p/3910996 #LLMOps #AzureML #MicrosoftAI #softcorpremium
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I want to deploy https://huggingface.co/flair/ner-english-large into my own tenant, either on #AWS or #Azure. huggingface sales is not responding (guess we are too small a fish). any other options that make this sort of deployment easy? we also currently have 2 custom PyTorch models running on #AzureML I would like to move. but I need to use my own cloud tenant.
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I want to deploy https://huggingface.co/flair/ner-english-large into my own tenant, either on #AWS or #Azure. huggingface sales is not responding (guess we are too small a fish). any other options that make this sort of deployment easy? we also currently have 2 custom PyTorch models running on #AzureML I would like to move. but I need to use my own cloud tenant.
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I want to deploy https://huggingface.co/flair/ner-english-large into my own tenant, either on #AWS or #Azure. huggingface sales is not responding (guess we are too small a fish). any other options that make this sort of deployment easy? we also currently have 2 custom PyTorch models running on #AzureML I would like to move. but I need to use my own cloud tenant.
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I want to deploy https://huggingface.co/flair/ner-english-large into my own tenant, either on #AWS or #Azure. huggingface sales is not responding (guess we are too small a fish). any other options that make this sort of deployment easy? we also currently have 2 custom PyTorch models running on #AzureML I would like to move. but I need to use my own cloud tenant.
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I want to deploy https://huggingface.co/flair/ner-english-large into my own tenant, either on #AWS or #Azure. huggingface sales is not responding (guess we are too small a fish). any other options that make this sort of deployment easy? we also currently have 2 custom PyTorch models running on #AzureML I would like to move. but I need to use my own cloud tenant.
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Latest update to my data science portfolio showcasing various frameworks and running on AWS and Azure. Still have plenty to learn and document for 2023! You can find my articles on https://medium.com/@manwill
Portfolio:
https://github.com/godot107/publicRunning on AzureML:
https://github.com/godot107/azureml-public#datascience #ai #portfolio #machinelearning #aws #azure #awssagemaker #azureml
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New blog post is now live as part of #AzureSpringClean 2023 and covers tips for managing your Azure ML costs. Stay tuned for related content over the next week!
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New blog post is now live as part of #AzureSpringClean 2023 and covers tips for managing your Azure ML costs. Stay tuned for related content over the next week!
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New blog post is now live as part of #AzureSpringClean 2023 and covers tips for managing your Azure ML costs. Stay tuned for related content over the next week!
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New blog post is now live as part of #AzureSpringClean 2023 and covers tips for managing your Azure ML costs. Stay tuned for related content over the next week!
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New blog post is now live as part of #AzureSpringClean 2023 and covers tips for managing your Azure ML costs. Stay tuned for related content over the next week!
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@johanpersson adding some hashtags for visibility #MSDyn365FO #Dynamics365 #AzureML
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@johanpersson adding some hashtags for visibility #MSDyn365FO #Dynamics365 #AzureML
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@johanpersson adding some hashtags for visibility #MSDyn365FO #Dynamics365 #AzureML
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@johanpersson adding some hashtags for visibility #MSDyn365FO #Dynamics365 #AzureML
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How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2) https://rodtrent.com/0um
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How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2) https://rodtrent.com/0um
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How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2) https://rodtrent.com/0um
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How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2) https://rodtrent.com/0um
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How to train a machine learning model to be analyzed for issues with Responsible AI (Part 2) https://rodtrent.com/0um
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Deploying machine learning models in production isn’t always the most straightforward thing to do, especially if you’re thinking about pesky things such as security, scalability, and reliability.
This is why I wrote a short(-ish😊) quickstart on deploying models with #AzureML managed online endpoints which solve "production" concerns like the ones above.
Read it here: https://vladiliescu.net/aml-managed-endpoints-quickstart/ and let me know what you think.
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Deploying machine learning models in production isn’t always the most straightforward thing to do, especially if you’re thinking about pesky things such as security, scalability, and reliability.
This is why I wrote a short(-ish😊) quickstart on deploying models with #AzureML managed online endpoints which solve "production" concerns like the ones above.
Read it here: https://vladiliescu.net/aml-managed-endpoints-quickstart/ and let me know what you think.
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Deploying machine learning models in production isn’t always the most straightforward thing to do, especially if you’re thinking about pesky things such as security, scalability, and reliability.
This is why I wrote a short(-ish😊) quickstart on deploying models with #AzureML managed online endpoints which solve "production" concerns like the ones above.
Read it here: https://vladiliescu.net/aml-managed-endpoints-quickstart/ and let me know what you think.
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Deploying machine learning models in production isn’t always the most straightforward thing to do, especially if you’re thinking about pesky things such as security, scalability, and reliability.
This is why I wrote a short(-ish😊) quickstart on deploying models with #AzureML managed online endpoints which solve "production" concerns like the ones above.
Read it here: https://vladiliescu.net/aml-managed-endpoints-quickstart/ and let me know what you think.
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Deploying machine learning models in production isn’t always the most straightforward thing to do, especially if you’re thinking about pesky things such as security, scalability, and reliability.
This is why I wrote a short(-ish😊) quickstart on deploying models with #AzureML managed online endpoints which solve "production" concerns like the ones above.
Read it here: https://vladiliescu.net/aml-managed-endpoints-quickstart/ and let me know what you think.
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In my previous post, I explored the integration of ChatGPT with Microsoft Sentinel.
In this new post, I'll be sharing my experience of integrating ChatGPT with Jupyter Notebook, a popular open-source platform for data analysis.
The aim of this Notebook is to provide an interface for asking questions to ChatGPT, assisting security analysts in investigating cyber threats with Microsoft Sentinel Notebooks.Blog post: https://medium.com/@antonio.formato/getting-started-with-chatgpt-and-jupyter-notebook-bf53d4536c4b
GitHub repo: https://github.com/format81/JupyterNotebook-ChatGPT
Demo: https://youtu.be/znvy2m97Cb0
#microsoft #azure #microsoftsentinel #chatGPT #AI #GPT #cybesecurity #Jupiter #jupyternotebook #notebook #python #mysticpy #kql #azureml #cyberthreats #soc #analysts #incidentresponse #cyber #cloud #cloudnative #cloudsecurity #MulticloudMindset
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New post: "Interesting Stuff - XMas, New Year 2022, Week 1 2023".
This post is the "roundup" for holiday period 2022, and week 1 2023. It of a mixed bag of topics:
* The obligatory post about ChatGPT and creating a Python app.
* Tinder for Azure Data Explorer - "Find my partner".
* The big one: Kafka and Flink! I can't help but wonder where this leaves ksqlDBRead all about it:
https://nielsberglund.com/post/2023-01-08-interesting-stuff---xmas-new-year-2022-week-1-2023/
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New post: "Interesting Stuff - XMas, New Year 2022, Week 1 2023".
This post is the "roundup" for holiday period 2022, and week 1 2023. It of a mixed bag of topics:
* The obligatory post about ChatGPT and creating a Python app.
* Tinder for Azure Data Explorer - "Find my partner".
* The big one: Kafka and Flink! I can't help but wonder where this leaves ksqlDBRead all about it:
https://nielsberglund.com/post/2023-01-08-interesting-stuff---xmas-new-year-2022-week-1-2023/
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New post: "Interesting Stuff - XMas, New Year 2022, Week 1 2023".
This post is the "roundup" for holiday period 2022, and week 1 2023. It of a mixed bag of topics:
* The obligatory post about ChatGPT and creating a Python app.
* Tinder for Azure Data Explorer - "Find my partner".
* The big one: Kafka and Flink! I can't help but wonder where this leaves ksqlDBRead all about it:
https://nielsberglund.com/post/2023-01-08-interesting-stuff---xmas-new-year-2022-week-1-2023/
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Just posted a guide on using AUTOMATIC1111's #StableDiffusion web UI on #AzureML GPU compute instances.
Includes:
1️⃣ Setting up AML GPU instances using the CLI
2️⃣ Installing the web ui and checkpoints 1.5 and 2.0
3️⃣ Speed increases with xFormers
4️⃣ That `--gradio-auth <user>:<pass>` bit that seems quite important if you don't want ppl going through Gradio instances finding yours and using it to generate all kinds of fun stuff.It's available here, I think you'll like it:
https://vladiliescu.net/stable-diffusion-web-ui-on-azure-ml/ -
Just posted a guide on using AUTOMATIC1111's #StableDiffusion web UI on #AzureML GPU compute instances.
Includes:
1️⃣ Setting up AML GPU instances using the CLI
2️⃣ Installing the web ui and checkpoints 1.5 and 2.0
3️⃣ Speed increases with xFormers
4️⃣ That `--gradio-auth <user>:<pass>` bit that seems quite important if you don't want ppl going through Gradio instances finding yours and using it to generate all kinds of fun stuff.It's available here, I think you'll like it:
https://vladiliescu.net/stable-diffusion-web-ui-on-azure-ml/ -
RT docs.microsoft.com
🙋♀️ Did you know #VSCode has an extension that helps you to use your Azure Machine Learning resources?
Sharon Xu has the details.
Get the extension:
Learn more on #AzureML:
https://msft.it/6019bPOWP
https://msft.it/6010bPOWu:sys_twitter: https://twitter.com/docsmsft/status/1527330457536192541
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See how to build a custom AI model with #AzureML Studio and #MLNET to detect a time-series anomaly.
Get started: https://devblogs.microsoft.com/premier-developer/custom-ai-models-with-azure-machine-learning-studio-and-ml-net/