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Super Data Science: ML & AI Podcast with Jon Krohn
857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins
Jan 28, 2025
Brooke Hopkins, Founder and CEO of Coval and former tech lead at Waymo, shares insights on AI agents and their societal impact. She discusses Coval's innovative platform designed for simulating AI interactions to ensure precision and scalability. The conversation explores the complexities of creating reliable voice agents and the future of AI autonomy, stressing the need for robust evaluation metrics. Brooke also highlights the importance of balancing AI capabilities with human oversight in an evolving tech landscape.
01:22:43
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Quick takeaways
- Coval enhances AI agent accuracy and reliability by applying autonomous vehicle evaluation techniques to improve performance in complex interactions.
- The rise of voice agents signifies a major platform shift, enabling more efficient communication between businesses and consumers without specialized integrations.
Deep dives
Coval: A Simulation Platform for AI Agents
Coval is a simulation and evaluation platform for AI agents, particularly focusing on voice and chat assistants. It leverages best practices from the autonomous vehicle industry, applying rigorous simulation methods to enhance the functionality and trustworthiness of AI agents. The platform allows for extensive testing of various conversational flows, enabling developers to create robust agents that can navigate complex interactions. By adopting systematic evaluation strategies used in self-driving car development, Coval aspires to ensure that AI agents can reliably handle real-world applications.
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