AI agents are becoming a promising new research direction with potential applications in the real world. These agents use foundation models such as large language models (LLMs) and vision language models (VLMs) to take natural language instructions and pursue complex goals autonomously or semi-autonomously. AI agents can use various tools such as browsers, search engines and code compilers to verify their actions and reason about their goals.
However, a recent analysis by researchers at Princeton University has revealed several shortcomings in current agent benchmarks and evaluation practices that hinder their usefulness in real-world applications.
Rust – en västern tyngd av sin egen historia
När Rust till slut når bioduken sker det efter en av de mest omskrivna filminspelningarna i modern tid. Filmen, regisserad av Joel Souza, berättar historien om Harland Rust – en laglös man spelad av Alec Baldwin – som tillsammans med…
0 kommentarer