Part-13: Evaluation (Evals) In copilot studio for Agent testing скачать в хорошем качестве

Part-13: Evaluation (Evals) In copilot studio for Agent testing

#Dynamics365 #copilot #AI #d365 #dynamics #d365fo #d365 #microsoft #microsoftdynamics #AI #copilot #microsoftdynamics365 #demandplanning #Dynamics365 #ERP #Copilot #DataManagement #MicrosoftCertifications #D365FSCM #BusinessCentral #CustomerEngagement #PowerPlatform #MicrosoftAI #Mentorship #CareerInTech #security #agent 🔗 YouTube:    / @dynamicsclass   ✍️ Blog: https://exploredynamics365.home.blog/ 💼 LinkedIn:linkedin.com/in/saurabhbharati 📢 WhatsApp Channel: https://whatsapp.com/channel/0029VbB6... Just like every product, application, or project needs testing before reaching users, the same principle applies in this new agentic world. The question is: how do we ensure the quality of the AI agents we are building? Because quality is not simply about whether an agent responds— it’s about whether it responds accurately, responsibly, and consistently, ultimately building trust. This is where Microsoft is making a real difference. Copilot Studio already simplifies how we design and publish agents— but now it goes further with built-in evaluation capabilities that allow us to measure quality before agents interact with real users. What makes this powerful is how accessible it is. You can now: ✨ Upload your own structured test dataset ✨ Repurpose real conversation transcripts ✨ Define evaluation scenarios manually ✨ And—my favourite— instantly generate 10 meaningful evaluation questions using AI, simply by providing the agent’s description and instructions. This gives every maker—from a domain expert to a developer— a fast, objective baseline to validate their agent. Quality is no longer reactive—it's continuous. It means: ✔ validating accuracy ✔ identifying weaknesses early ✔ iterating with confidence ✔ and building user trust through predictable behaviour I’ve created a full demo video walkthrough— but here’s a short teaser to get you started.