CMU Researchers Propose New Web AI Agents that Use APIs Instead of Traditionally Browsers

This research paper investigates the use of APIs, specifically designed for machine interaction, as an alternative to web browsing for AI agents performing online tasks. The paper proposes two types of agents: an API-calling agent that exclusively utilizes APIs and a Hybrid Agent that combines both APIs and web browsing. Experiments on the WebArena benchmark, which simulates real-world web tasks, demonstrate that API-based agents outperform web browsing agents across various websites, particularly those with extensive API support. The Hybrid Agent, capable of dynamically switching between API calls and web browsing, achieves the highest performance among the tested agents, showing the potential of a combined approach for handling diverse web tasks.

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@cmu #artificialintelligence #aiagents #webbrowsing #ai

[Marktechpost]

This research paper investigates the use of APIs, specifically designed for machine interaction, as an alternative to web browsing for AI agents performing online tasks. The paper proposes two types of agents: an API-calling agent that exclusively utilizes APIs and a Hybrid Agent that combines both APIs and web browsing. Experiments on the WebArena benchmark, which simulates real-world web tasks, demonstrate that API-based agents outperform web browsing agents across various websites, particularly those with extensive API support. The Hybrid Agent, capable of dynamically switching between API calls and web browsing, achieves the highest performance among the tested agents, showing the potential of a combined approach for handling diverse web tasks.





Audio Created by NotebookLLM and reviewed by real human

[agkol]

did you guys use notebook LLM to generate this podcast?