Showing results for Category: Semantic Kernel from Semantic Kernel

A key component of leveraging machine learning large languages models (LLM) for natural language processing (NLP) in applications for chat search like ChatGPT, ranking and recommendation engines, anomaly detection, and semantic search is the ability to leverage massive amounts of unstructured data for search. But where would we save and retrie...

Adam Hurwitz recently shared a popular blog post about using Semantic Kernel to chat with the Microsoft 10-K, which can be extended to any other 10-K document that you like. As a seasoned pro in the space of Financial Services applications, Adam's hands-on experience with LLM AI is indicative of how each industry vertical is on the brink of ext...

Just a few weeks ago we came out with Semantic Kernel in C# and with an experimental branch for Python. Today we're happy to announce that based upon community feedback, we have an official Python release now available on GitHub. You know what that means ... and you're good to go! 🎉🎉🎉 Why Release Semantic Kernel In Python? Python is widely use...

We are excited to announce the release of Semantic Kernel Tools, the first Semantic Kernel extension for Visual Studio Code. With this extension, developers can develop their own semantic skills on Semantic Kernel faster and with greater ease.  Semantic Kernel Tools provides a user-friendly interface that integrates seamlessly with...

"We're not just creating AI for AI's sake, but we're creating AI that serves a purpose, that solves a problem, that empowers people, that respects people." —Haiyan Zhang Haiyan Zhang is a creative technologist, designer, and maker who has worked on projects ranging from wearable devices for people with Parkinson's to immersive experiences for so...

Multi-modal interfaces are becoming increasingly popular for app developers. These interfaces allow users to interact with apps in a variety of ways by combining different modes of input and output, such as voice, touch, and visuals, to create a more interactive and engaging user experience. In this blog we will overview how you can use Semanti...

In this post, we will show you how to use the Summarize Skill, one of the many skills available in the Semantic Kernel repo, to create concise and actionable summaries of your chat conversations. The Summarize Skill uses AI to extract the main points, topics, and action items from any text input. You can use it to quickly review what was discus...

Semantic Kernel (SK) is a lightweight SDK that lets you mix conventional programming languages, like C# and Python, with the latest in Large Language Model (LLM) AI “prompts” with prompt templating, chaining, and planning capabilities.  Its Planner Skill allows users to create and execute plans based on semantic queries. Recently, the addition ...

UPDATE: See the blog post: How to deploy Semantic Kernel to Azure as a web application service on the easiest way to deploy Semantic Kernel to your Azure instance.   If you have been following the Semantic Kernel GitHub repo, you have probably experimented with some of the examples and seen how powerful and flexible the platform is for a...

What if you could use natural language to create software? What if you could leverage the power of a large-scale language model that can generate code, data, and text from simple prompts? What if you could balance the trade-offs between leverage and precision, uncertainty and interaction, complexity and simplicity? These are some of the questio...