Large language models (LLMs) can frequently produce nonsensical, toxic, or made-up text that can easily fool typical users. These unintended behaviours stem from the inherent shortcomings of the language modelling objective: predicting the next token...
Large language models (LLMs), which are artificial intelligence (AI) systems trained to process and generate human language, are trained on vast amounts of data from the internet. They learn about language and other complex linguistic concepts by opt...
With the rapid growth of research on large language models (LLMs), we now have a diverse array of models capable of performing various tasks. Current benchmarks for LLMs only focus on evaluating models on close-ended questions, with short responses. ...