How do you know your LLM app is truly working – not just responding? In this session, you’ll learn how to evaluate your Prompt Flows to move beyond intuition and into measurable performance. We’ll cover: – the built-in evaluation pipeline and how it works under the hood, – available metrics such as Groundedness, Relevance, Fluency,… READ MORE
Introduction Open-source Large Language Models (LLMs) have become popular for building AI-driven solutions due to their flexibility and cost-effectiveness. Integrating these LLMs in Microsoft Copilot Studio can be a game-changer, helping developers enhance their apps with powerful AI capabilities. In this blog, we’ll explore how you can assess and use open-source LLMs in Copilot Studio,… READ MORE
DISCLAIMER: The content below is intended for educational purposes. Actual performance and outcomes will depend on your dataset, indexing strategies, and the task you’re trying to solve with your RAG pipeline. Experimentation is strongly recommended. Retrieval-Augmented Generation (RAG) solutions combine Large Language Models (LLMs) with external data sources to produce factually grounded, context-aware answers. A… READ MORE
