Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check...
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Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting the same prompt multiple times to see if the model generates the same answer. But this method measures self-confidence, and even the most impressive LLM might be confidently wrong. Overconfidence can mislead users about the accuracy of a prediction, which might result in devastating consequences in high-stakes settings like health care or finance.
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check...
New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks,...
New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks,...
To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large...
While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user's minor habits or...
The GSMA and Zindi, an AI challenge platform focused on emerging markets, have launched a competition aimed at identifying vulnerabilities in large...
The GSMA and Zindi, an AI challenge platform focused on emerging markets, have launched a competition aimed at identifying vulnerabilities in large...
As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can...
Running a large language model on a single machine without cloud access or a container runtime remains a priority for practitioners working in...