How Will AI Agent Evaluation Evolve?
AI Summary
Summary of YouTube Video
- Future of Agentic Evaluations
- Expect evolution alongside advancements in agent capabilities.
- Models are becoming cheaper, better, and smarter, leading to higher quality outputs from baseline LLMs.
- Shift focus to evaluating non-LLM components of the system.
- Emerging Tools and Software
- Anticipate the introduction of newer tools and orchestration systems in the AI landscape.
- Platforms are becoming more adaptive, allowing for better agent evaluations.
- Metrics and Generalizability
- Importance of providing metrics to assess ancillary components beyond LLMs.
- Explore the ability to take default metrics and make them generalizable, evolving with data.
- Galileo’s metric platform emphasizes continuous learning with human feedback, enhancing the incorporation of human input in evaluations.