). Today, let's further discuss the Agent part in Stanford's Artificial Intelligence Institute (HAI) report. Regarding Copilot vs Agent, this video is quite interesting; I saw it on a programming teacher's video account: Back to Stanford's report, this section mainly introduces two benchmarks and one study.
AgentBench
AgentBench, a new benchmark specifically designed for evaluating proxies based on LLMs, covering eight different interactive scenarios, including web browsing, online shopping, home management, puzzle solving, and digital card games.
The above is a comparison of various language models, and GPT-4 still leads the way.
MLAgentBench
MLAgentBench, a new benchmark for evaluating the performance of AI research agents, tests whether AI agents can conduct scientific experiments. More specifically, MLAgentBench evaluates their potential as research assistants in computer science by assessing their performance through 15 different research tasks.
Among these tasks, GPT-4 consistently shows the best results, as shown in the figure above.
). However, since I have already shared this research before, I will not go into details in today's notes.