Watch and track your favorite playlist.
Curated by: CampusX (12 videos)
This lecture explains what LLM Evaluations (LLM Evals) are, why they are different from traditional software testing, and how they help measure the quality of LLMs and LLM-powered applications. The session introduces the concepts of systematic evaluation, evaluation criteria, model evaluations, application evaluations, benchmarks, and the role of AI engineers in evaluating real-world AI systems. This lecture was taken live for insiders, join here: https://youtu.be/j_G30FLmCcw 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 (@suf for queries) E-mail us at support@campusx.in Chapters 00:00 - What are LLM Evaluations? 05:34 - LLM Evals vs Metrics 08:37 - Types of LLM Evaluations 10:33 - Understanding Model Evaluations 15:14 - How AI Engineers Use Model Benchmarks 17:46 - Introduction to Application Evaluations 20:02 - Smartphone Analogy: Models vs Applications 21:45 - What Should We Evaluate in AI Applications? 23:30 - Model Evals vs Application Evals: Recap 24:02 - What’s Coming Next? Application Evaluation Frameworks