AppWorld is a framework developed by Stony Brook University's NLP group to simulate environments for training and evaluating dialogue agents in task-oriented applications.
Features
- Provides simulated environments for dialogue agent training
- Supports task-oriented scenarios to evaluate agent performance
- Open-source and extensible for academic and industrial research
- Integrates with natural language processing tools for language understanding
- Allows customization of tasks and environments for specific applications
- Facilitates research in dialogue systems and human-computer interaction
Project Samples
License
Apache License V2.0Follow AppWorld
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