LLMs have been around for years now, and we have been using them for data that doesn’t change frequently. We don’t ask them for current data, like today’s weather or the balance in our bank account. Instead, we ask evergreen questions, such as who the members of the band ABBA are or whether we can eat ice cream in space (the answer is yes!).
However, since GPT-4, we have gained …
AI Toolkit for Visual Studio Code is a “relatively” new toolset, that was previously known as Windows AI Studio. Toolkit is an extension, that allows developers to run SLMs (Small Language Models) on their local machine, or use Azure AI Studio LLM models from cloud. As you can easily use the Azure AI Studio models without any extensions like this, I find the local models more interesting …
Aug 7, 2024 Microsoft announced, that they are now supporting JSON mode Azure OpenAI. This mode forces OpenAI to response only with JSON data. You could kind of do the same thing earlier, but the OpenAI response didn’t always contain only valid JSON. There could be some additional text before and after the JSON data. However now you can force the OpenAI to stay strictly in JSON format.
CI/CD pipelines are a critical part of modern software development, but diagnosing errors when they arise can be difficult and time-consuming. In this post, we’ll look at how to use Azure OpenAI to help explain and troubleshoot common CI/CD errors. By applying AI to understand error messages and identify root causes, you can make it easier to debug errors.
Before we start, we need to setup few things into …
Microsoft has published many Copilots within a year. We have Copilots for Azure, Security, Finance, Word, Outlook, etc. Almost all of these different Copilots are integrated into the corresponding tool. You can find Azure Copilot in the Azure Portal, Copilot for Finance in Excel and so on. The number of Copilots won’t decrease in the near future; rather, the opposite. I predict that the number of Copilots will keep growing. …
Microsoft’s Semantic Kernel is currently a focal point in the Microsoft AI landscape. The Semantic Kernel (referred to as SK) serves as an SDK enabling the development of applications utilizing Large Language Models (LLMs). SK facilitates seamless integration of OpenAI or Azure OpenAI into applications, empowering developers to construct AI pipelines capable of executing multiple LLM calls, triggering actions, and executing custom code based on LLM responses. However, the reality …