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.
Apples nästa Studio Display får ProMotion och HDR-stöd
Apples nästa generation av Studio Display förväntas anlända tidigt nästa år. En ny rapport påstås ge ytterligare detaljer om den externa skärmens kapacitet. Enligt intern Apple-kod som Macworld har sett, kommer den nya externa skärmen att ha variabel uppdateringsfrekvens. Den…