Open Assistant Toolkit -- version 2

Autor: Fischer, Sophie, Rossetto, Federico, Gemmell, Carlos, Ramsay, Andrew, Mackie, Iain, Zubel, Philip, Tecklenburg, Niklas, Dalton, Jeffrey
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We present the second version of the Open Assistant Toolkit (OAT-v2), an open-source task-oriented conversational system for composing generative neural models. OAT-v2 is a scalable and flexible assistant platform supporting multiple domains and modalities of user interaction. It splits processing a user utterance into modular system components, including submodules such as action code generation, multimodal content retrieval, and knowledge-augmented response generation. Developed over multiple years of the Alexa TaskBot challenge, OAT-v2 is a proven system that enables scalable and robust experimentation in experimental and real-world deployment. OAT-v2 provides open models and software for research and commercial applications to enable the future of multimodal virtual assistants across diverse applications and types of rich interaction.
Databáze: arXiv