Most AI Agents Fail — Here’s How to Evaluate Them (Demo with Semantic Kernel SDK) скачать в хорошем качестве

Most AI Agents Fail — Here’s How to Evaluate Them (Demo with Semantic Kernel SDK)

Everyone is building AI agents. But almost no one knows if they actually work. That’s the uncomfortable truth. 🚀 In my latest video, I break down how to evaluate AI agents properly using Azure AI Evaluation + Semantic Kernel (with a real demo). Because “it works on my machine” is not evaluation. 💡 Here’s what actually matters: • Tool Call Accuracy – Is your agent using tools correctly? • Task Adherence – Is it doing what you asked? • Relevance & Coherence – Are responses meaningful or just “sounding right”? • Fluency – Does it communicate clearly? 🔧 I also walk through: • How to set up evaluation in Semantic Kernel • What most people completely miss in production • How to interpret results (this is where many go wrong) If you're building AI apps, this is the shift you need: 👉 From “It works” → to → “It works reliably” Curious — how are you evaluating your AI agents today? (or are you just trusting the outputs?) 📌 Tech Stack: Semantic Kernel SDK Azure OpenAI AI Agents --- 👨‍💻 If you're building AI apps, this will help you move from 👉 “It works” → to → “It works reliably and measurably” --- 00:00 - Why Evaluations? 00:45 - Different Evaluators 1:05 - Understanding Infrastructure 1:40 - Problem Statement 11:00 - Running the Script 19:10 - Analyzing Evaluations in Foundry 23:00 - Conclusion 👍 Like, Share & Subscribe for more AI engineering content! #AI #SemanticKernel #AIAgents #AzureOpenAI #LLM #microsoftfoundry #evaluation #semanticsearch #EvaluationAIagents