The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Building AI Voice Agents with Scott Stephenson - #707
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Oct 28, 2024 
Scott Stephenson, co-founder and CEO of Deepgram, shares his unique journey from particle physics to AI voice technology. He highlights the complexities of building intelligent voice agents, focusing on perception, interaction, and real-time updates. The discussion dives into the transformative potential of AI in customer service, emphasizing federated learning for continuous improvement. Scott also unveils Deepgram's new agent toolkit, showcasing applications across industries like healthcare and food service, and the need for adaptable models in voice interactions.
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Accessibility and Challenges of Audio Models
- The accessibility of audio models like Whisper has increased significantly.
- However, challenges remain in areas like diarization and achieving accurate results.
Model Adaptation
- AI models should adapt to their use cases like university graduates specializing in jobs.
- This adaptation can be achieved through self-supervised learning and synthetic data.
Building Adaptable AI Models
- Build general AI models that adapt to specific use cases.
- Use self-supervised learning and synthetic data for model adaptation.