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3 days ago · The term retrieval augmented generation, or RAG for short, has emerged as a hot topic in AI discussions. Let's dive into what RAG is and learn how you can leverage it with just a few lines of code or clicks to effortlessly create powerful AI apps. RAG uses information from additional sources to enhance the output of a large language model (LLM).
3 days ago · Copilot Studio combines generative AI, large language models, and a rules-based engine to provide end-to-end low-code development and transform the way copilots are designed, enhanced, and managed. Users of all skill levels can easily create automated, connected copilots and publish them to any channel with a few clicks.
5 days ago · GitHub Copilot is your AI-powered coding assistant, offering assistance throughout your software development journey. Leveraging large language models, it offers suggestions via code completions and chat, as detailed below:
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5 days ago · Microsoft Copilot for Service transforms traditional customer service solutions by using generative AI. Copilot for Service is designed to enhance customer experiences and improve agent productivity by integrating seamlessly with existing contact center and CRM solutions.
6 days ago · Copilot, introduced for Microsoft365 in November 2023, is one of many productivity tools introduced by tech companies promising AI bot stand-ins to take notes and summarize telecall meetings.
2 days ago · Copilot for Microsoft 365 is a transformative AI tool designed to integrate seamlessly with the Microsoft 365 suite, including applications like Word, Excel, PowerPoint, Outlook, and Teams. Its core functionality revolves around utilizing large language models (LLMs) to enhance productivity, creativity, and efficiency within an organizational setting.
5 days ago · How is Copilot in cloud flows different from the text generation model in AI Builder? Copilot in cloud flows is designed to help you create and edit Power Automate flows just by describing them in everyday language, providing helpful guidance along the way.
