𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝘁𝗼𝗱𝗮𝘆!

Join Kasam Shaikh - Microsoft [Azure] AI MVP ☁ 🇮🇳 with Rahat Yasir - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗠𝗩𝗣 𝗔𝗜, for an engaging and insightful webinar on "Evaluation and Monitoring metrics of Gen AI use cases in Azure AI Studio”

In today’s fast-evolving AI landscape, building generative AI solutions is just the beginning—ensuring their performance, accuracy, and reliability is equally critical.

In this session, we will delve deep into the evaluation and monitoring frameworks used in Azure AI Studio to measure the effectiveness of generative AI models. You will learn about key performance indicators (KPIs) and metrics essential for assessing generative models, from accuracy, precision, and recall to more advanced measures like diversity, coherence, and factual correctness.

Key Takeaways:

• Best practices for evaluating generative AI models in Azure AI Studio
• Monitoring and managing model drift in live environments
• Tools and techniques for ensuring robust AI performance
• Real-world use cases and industry applications

Whether you are a data scientist, AI engineer, or solution architect, this event will provide you with practical insights and strategies to build, evaluate, and maintain high-performing generative AI models in Azure.

Don't miss this opportunity to enhance your understanding of AI evaluation metrics and stay ahead in the world of generative AI.

Register now!