Sunita Vaidyanathan — designing evals for LLM agents

**Designing Effective Evaluations for LLM Agents** When it comes to evaluating large language model (LLM) agents, clarity is key. A well-structured evaluation framework ensures that you assess not just the accuracy of responses but also the contextual relevance and user experience. Start by defining clear success metrics—think precision, recall, and user satisfaction. Incorporate real-world scenarios that your agents may encounter, and continuously iterate based on user feedback. Remember, the goal is to create a system that not only performs well in controlled tests but also thrives in dynamic, real-world applications. By focusing on these aspects, you can drive meaningful improvements and enhance the overall effectiveness of your LLM deployments.