Chatbot Arena Tutorial: Compare LLMs Based on Real User Interactions

In this video, we explore Chatbot Arena (also known as LM Arena), a popular platform for comparing large language models through live, side-by-side battles. Instead of relying only on benchmark scores and leaderboards, Chatbot Arena lets you interact with two anonymous LLMs, give them the same prompt, inspect their responses, and vote for the one you prefer. These human votes are then used to rank models on a public leaderboard. You’ll learn how to: * Use the Battle mode to compare two anonymous LLMs * Understand how human voting contributes to model rankings * Evaluate LLMs based on real responses, not just benchmark numbers * Explore the Chatbot Arena leaderboard and scoring approach * Think about how to choose an LLM based on usability and experience Timestamps: 0:00 - What is Chatbot Arena and why it matters 0:21 - How LLM battles and anonymous comparisons work 1:21 - Battle mode vs side-by-side and direct chat 1:38 - Running a live comparison with a sample prompt 2:16 - Voting and revealing the competing models 2:37 - Understanding the leaderboard and scores 3:04 - Why real interactions matter more than benchmarks 3:27 - Final thoughts and recommendations Watch this video if you’re experimenting with different LLMs, selecting a model for your product, or learning how modern leaderboards go beyond traditional benchmarks. This video is part of the LLM Engineering and Deployment Certification Program by Ready Tensor. ✅ Join the Program: https://www.readytensor.ai/programs/llm-engg-and-deployment/ About Ready Tensor: Ready Tensor helps AI/ML professionals build and evaluate intelligent, goal-driven systems and showcase them through certifications, competitions, and real-world project publications. Learn more: https://www.readytensor.ai/ Like the video? Subscribe and let us know what other LLM evaluation tools and techniques you want us to cover.