Sign up to save your podcasts
Or
Share AI Can Make the Future Screenless
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI Can Make the Future Screenless
In this episode, we dive into a groundbreaking framework called AXIS, designed to make human-agent-computer interaction (HACI) faster, easier, and more accurate. Traditional digital assistants often rely on step-by-step interactions, which can be slow and error-prone. AXIS changes the game by using APIs (application programming interfaces) to complete tasks more efficiently. The episode breaks down how AXIS works, including its design, skills, and testing process. Real-world experiments, such as using AXIS with Microsoft Word, show how it can improve productivity and reduce mental effort, offering a glimpse into the future of smarter, more intuitive digital assistants.
Original paper:
Lu, J., Zhang, Z., Yang, F., Zhang, J., Wang, L., Du, C., Lin, Q., Rajmohan, S., Zhang, D., & Zhang, Q. (2024). Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. https://arxiv.org/abs/2409.17140
View all episodes
By Fly for PointsIn this episode, we dive into a groundbreaking framework called AXIS, designed to make human-agent-computer interaction (HACI) faster, easier, and more accurate. Traditional digital assistants often rely on step-by-step interactions, which can be slow and error-prone. AXIS changes the game by using APIs (application programming interfaces) to complete tasks more efficiently. The episode breaks down how AXIS works, including its design, skills, and testing process. Real-world experiments, such as using AXIS with Microsoft Word, show how it can improve productivity and reduce mental effort, offering a glimpse into the future of smarter, more intuitive digital assistants.
Original paper:
Lu, J., Zhang, Z., Yang, F., Zhang, J., Wang, L., Du, C., Lin, Q., Rajmohan, S., Zhang, D., & Zhang, Q. (2024). Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. https://arxiv.org/abs/2409.17140