How Large Language Models Develop Unexpected Skills
A recent study challenges the notion that large language models (LLMs) acquire emergent abilities suddenly and unpredictably. The study, conducted by researchers at Stanford University, suggests that these abilities actually develop gradually and predictably, depending on how they are measured.LLMs, like the ones powering chatbots such as ChatGPT, learn by analyzing vast amounts of text data. As the size of these models increases, so does...
Read Full Story