MLOps.community Exploring AI Agents: Voice, Visuals, and Versatility // Panel // Agents in Production
Nov 15, 2024
Jazmia Henry, Founder and CEO of Iso AI, joins a panel of AI experts to explore the future of AI agents. They discuss the integration of voice and visual interfaces, emphasizing how smaller language models can enhance usability. The panel highlights AI's transformative impact across industries like insurance and manufacturing, and the efficiency of deconstructing tasks for better performance. Challenges in scaling AI agents and the importance of quality data are also examined, paving the way for innovative solutions in the rapidly evolving AI landscape.
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Voice as a Natural Interface
- Voice is a natural mode of communication for humans, making it suitable for AI agents.
- Voice interfaces lower the barrier to entry, allowing users to easily interact with agents.
Agent-to-Agent Voice Communication
- Agent-to-agent communication via voice can leverage multimodal cues for efficiency.
- Observational learning and swarm algorithms can enhance agent communication beyond human-like interaction.
Latency and Model Size Trade-off
- Latency is critical for live human-agent voice interactions but less so for offline agent tasks.
- Smaller models offer lower latency, but larger models generally perform better for complex agent tasks.