Atomic Talk Title: Mastering LLM Chatbot Testing: Metrics, Methods and Mistakes to Avoid

As AI chatbots power critical user interactions, even a minor misstep in testing can lead to high-profile, costly failures. How do you ensure your LLM-powered chatbots don’t become the next headline? In this session, discover the cutting-edge techniques used to rigorously test LLM chatbots, ensuring robust performance and avoiding common pitfalls.

You will:

• Unpack the architecture behind LLM chatbots and pinpoint the exact components that need testing
• Learn which evaluation metrics are essential and how to apply them correctly 
• Troubleshoot real-world issues—from outdated knowledge graphs to fine-tuning errors—like a pro
• Analyze real case studies of chatbot failures and explore how they could have been prevented with proper testing

In just 15 minutes, you’ll walk away with actionable insights to elevate your chatbot testing, diagnose hidden issues, and build resilient AI systems that handle real-world demands flawlessly. 

This talk is a must for testers, engineers, and AI professionals who want to future-proof their LLM chatbot systems and stay competitive in the evolving AI landscape.

Talk Takeaways

• Master critical LLM chatbot components like knowledge graphs, RAG, fine-tuning, and more
• Effectively apply metrics like ROUGE, BLEU, and Perplexity to evaluate chatbot performance
• Gain a toolkit of troubleshooting strategies to address common chatbot challenges

Stay ahead of AI developments with best practices for testing conversational systems