OdoBot Reduces Token Usage for Web Agents
A new web-agent architecture called OdoBot has been introduced to reduce the cost of executing tasks on web applications. By analyzing and modeling application behavior, OdoBot can complete tasks at a fraction of the token usage compared to existing agents like Agent-E and WebVoyager. The experiments conducted with 45 tasks on Canvas Learning Management System (LMS) show that OdoBot uses 44%…
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Key points
- OdoBot reduces token usage by 44% compared to Agent-E
- OdoBot reduces token usage by 80% compared to WebVoyager
- OdoBot achieves a higher task success rate than WebVoyager
Read the original at arXiv cs.AI · by Alexandru Ianta, Eleni Stroulia primary sourceOpen source ↗
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Canvas Learning Management System
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