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.
Läcka: iPhone 18 får Face ID inbyggt under skärmen
Detta är den tid på året då många designdetaljer slutförs för nästa hösts flaggskepps-iPhones. Nu bekräftar en ny läcka på Weibo vad vi har hört tidigare: Face ID under skärmen är planerat för iPhone 18-serien. Apple kommer att använda ”mikro-transparenta…
