Microsoft is supplementing its Semantic Kernel SDK for integrating AI big language models (LLM) into applications with an open source Copilot Chat sample app, enabling developers to more easily build chatbots using functions such as natural language processing, file uploading, and speech recognition.Unveiled May 1, Copilot
Chat demonstrates how designers can integrate AI and LLM intelligence into their own applications. The tool is planned to help with structure applications such customized recommendation systems and automated assistants for client service, e-commerce, training and education, HR, and other tasks.Microsoft cited scalability of these operations as a chief advantage, with chatbots helping user websites scale approximately meet increasing need without hiring more staff, which Microsoft kept in mind could lower expenses and increase earnings. Other particular benefits the business mentioned for using the sample app include an improved user experience, increased efficiency, personalized recommendations, and much better accessibility.Developers can make chat smarter via LLM-based AI, with up-to-date info through the Semantic Kernel, Microsoft said, explaining the Copilot Chat sample app as”an enriched intelligence app”that will become smarter with usage. To use Copilot Chat, designers can upgrade to the latest copy of Semantic Kernel from GitHub and then navigate to instructions for the sample app. However, the sample app is marked when it comes to instructional functions and is not suggested for production releases. Open source Semantic Kernel is placed as a light-weight SDK to mix conventional programs languages with the most recent in LLM AI”triggers”with templating, chaining, and preparing abilities. Copyright © 2023 IDG Communications, Inc. Source
