Semantic Kernel

Semantic Kernel Now Available In Python Flavor

April 17, 2023 Apr 17, 2023 04/17/23

John Maeda

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...

Semantic Kernel Tools

April 13, 2023 Apr 13, 2023 04/13/23

Shannon Monroe

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 ...

How Haiyan Zhang Went from Software Engineer to AI Game Design Innovator

April 11, 2023 Apr 11, 2023 04/11/23

John Maeda

(image) "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 ...

How to use Semantic Kernel for multi-modal experiences.

April 7, 2023 Apr 7, 2023 04/7/23

Nilesh Acharya

(image) 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 ...

Use the Summarize Skill to create concise and actionable chat summaries

April 4, 2023 Apr 4, 2023 04/4/23

Evan Chaki

(image) 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 ...

Semantic Kernel Planner: Improvements with Embeddings and Semantic Memory

March 30, 2023 Mar 30, 2023 03/30/23

Lee Miller

(image) 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. ...

How to Deploy Semantic Kernel to Azure in Minutes

March 28, 2023 Mar 28, 2023 03/28/23

Evan Chaki

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 ...

Early Lessons From GPT-4: The Schillace Laws

March 23, 2023 Mar 23, 2023 03/23/23

John Maeda

(image) 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 ...

Semantic Kernel Embeddings and Memories: Explore GitHub Repos with Chat UI

March 22, 2023 Mar 22, 2023 03/22/23

Evan Chaki

(image)   UPDATE: This Sample has been deprecated.  See the Chat Copilot example app on how to use embeddings and memories.   Have you ever wanted to Ask questions to a GitHub repo? How many files are there, what languages are used, who contributed to it, what topics are covered, and so on? If you are a developer, ...

Hello, Semantic Kernel!

March 17, 2023 Mar 17, 2023 03/17/23

John Maeda

(image) Artificial intelligence (AI) and Large Language Models (LLM) are helping to transform the way we develop and interact with software. From chatbots to code generators, natural language is the future of user interaction, delivering delightful and intelligent "copilot" experiences. As these AI models become more prevalent and ...