This blog explores ReALM, a groundbreaking approach by Apple researchers that utilizes language models to resolve references to both conversational and on-screen entities. ReALM outperforms existing systems and achieves accuracy comparable to OpenAI’s GPT-4, paving the way for more natural and intuitive interactions with voice assistants and conversational AI. Click to learn how ReALM is revolutionizing reference resolution and shaping the future of human-machine interaction.