The Future of AI: Customizing AI agents with the Semantic Kernel agent framework
The blog post Customizing AI agents with the Semantic Kernel agent framework discusses the capabilities of the Semantic Kernel SDK, an open-source tool developed by Microsoft for creating AI agents and multi-agent systems. It highlights the benefits of using single-purpose agents within a multi-agent system to achieve more complex workflows with improved efficiency. The Semantic Kernel SDK offers features like telemetry, hooks, and filters to ensure secure and responsible AI solutions, making it a versatile tool for both simple and complex AI projects.The Future of AI: Reduce AI Provisioning Effort - Jumpstart your solutions with AI App Templates
In the previous post, we introduced Contoso Chat – an open-source RAG-based retail chat sample for Azure AI Foundry, that serves as both an AI App template (for builders) and the basis for a hands-on workshop (for learners). And we briefly talked about five stages in the developer workflow (provision, setup, ideate, evaluate, deploy) that take them from the initial prompt to a deployed product. But how can that sample help you build your app? The answer lies in developer tools and AI App templates that jumpstart productivity by giving you a fast start and a solid foundation to build on. In this post, we answer that question with a closer look at Azure AI App templates - what they are, and how we can jumpstart our productivity with a reuse-and-extend approach that builds on open-source samples for core application architectures.The Future of AI: Power Your Agents with Azure Logic Apps
Building intelligent applications no longer requires complex coding. With advancements in technology, you can now create agents using cloud-based tools to automate workflows, connect to various services, and integrate business processes across hybrid environments without writing any code.The Future Of AI: Deconstructing Contoso Chat - Learning GenAIOps in practice
How can AI engineers build applied knowledge for GenAIOps practices? By deconstructing working samples! In this multi-part series, we deconstruct Contoso Chat (a RAG-based retail copilot sample) and use it to learn the tools and workflows to streamline out end-to-end developer journey using Azure AI Foundry.
Ignite 2024: Streamlining AI Development with an Enhanced User Interface, Accessibility, and Learning Experiences in Azure AI Foundry portal
Announcing Azure AI Foundry, a unified platform that simplifies AI development and management. The platform portal (formerly Azure AI Studio) features a revamped user interface, enhanced model catalog, new management center, improved accessibility and learning, making it easier than ever for Developers and IT Admins to design, customize, and manage AI apps and agents efficiently.Unlock the Potential of AI in Your Apps with Semantic Kernel: A Lightweight SDK for LLMs
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI. SK supports prompt templating, function chaining, vectorized memory, and intelligent planning capabilities out of the box
How to estimate cost for Python SDK for querying.
Hi, I was wondering since it is possible to query the ADX database using KustoClient, how can I estimate the cost being incurred for these queries? I searched a lot to get a clear understanding of the pricing but was unable to do so. Apart from the ADX Markup cost (for keeping the cluster running) how do the queries contribute to the total bill? Particularly in the case of using the KustoClient. Any kind of help and suggestion is highly appreciated! thank you in advance 🙂
Windows Insider: Beta Channel (Discounted/Free 11 Home to 11 Pro)
Hey Everyone, I'm not sure I'm in the correct place. I've never posted on here before. I'm on Windows 11 Home Edition through the beta channel. I was wondering if anyone knows a way to move from 11 Home Edition to 11 Pro Edition (or is there another better suited?). I am a student. Majoring in software development. I have interests in joining the developer program here, I'm just a bit nervous it's too advanced for me. I would really like to access the features that are available on other versions of Windows. I was able to enable Hyper-V. But I would like to have access to the sandbox (Not sure if that's even available on the PRO edition), screencasting. I can sometimes cast a youtube and some other things, but not just screencast my full desktop, for example) and Bitlocker. My device is definitely capable. I checked and the status of my TPM, it says Status: Ready to use. I have 32gb RAM and 1tb SSD (also a couple external HDD/SSD) Anyways, I can't afford to pay for the pro version. I was wondering what the absolute cheapest way to get it would be. Or if there are work arounds like there is for enabling Hyper-V. Thank You, JohnIs it possible that a app remains spanned if the hinge angle exceeds a lmit?
Background: I'm playing around with the Surface Pen and the Duo. I wanted to create a simple Xamarin.Forms demo app that includes a drawer and a guesser. In German it's called "Montags Maler" which roughly translates to "Monday's pointer". The team gets points if the Guesser recognizes the drawing (sketch) of the drawer. Problem: In order to get this concept working, I need that the Surface Duo is in an A shape (see photo). The guesser should not see what the drawer hast to draw. The problem is now, that as soon as the ginge angle is more than 180° the second screen turns off and my app is not longer spanned across both. I know that this makes sense for the most of applications - but not for mine. Question: Is it possible to tell the device to not deactivate the second screen?
