Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challenges in providing reliable and accurate answers to user questions. To better understand the model's particular weaknesses in providing truthful answers, we embark an in-depth exploration of open-domain question answering. Specifically, we undertake a detailed examination of ChatGPT's failures, categorized into: comprehension, factuality, specificity, and inference. We further pinpoint factuality as the most contributing failure and identify two critical abilities associated with factuality: knowledge memorization and knowledge recall. Through experiments focusing on factuality, we propose several potential enhancement strategies. Our findings suggest that augmenting the model with granular external knowledge and cues for knowledge recall can enhance the model's factuality in answering questions.

Deutsche Bank - one of the world's largest financial institutions - is gearing up to replace a large chunk of its workforce with robots. CEO John Cryan warned today that a'big number' of people will lose their jobs at the firm as it automates to embrace its'revolutionary spirit.' The Frankfurt, Germany-based company employs 100,000 people globally, but it's unknown how many will be laid off and replaced by machines or when the overhaul will occur. Deutsche Bank - one of the world's largest financial institutions - is gearing up to replace a large chunk of its workforce with robots. A'big number' of the company's 100,000 employees will be replaced by machines Deutsche Bank - one of the world's largest financial institutions - is gearing up to replace a'big number' of its 100,000 employees with robots.