AI model edits can leak sensitive data via update ‘fingerprints’
Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or tackle specific tasks more rapidly and efficiently. Today, some of the most used are large language models (LLMs), computational models trained on large collections of texts that can process and generate written content in various languages.
AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting. A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from…
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models are trained on large amounts of texts written by humans, they could exhibit some human-like…
In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands of web sources. But as these datasets are combined and recombined into multiple collections, important information about their origins and restrictions on how they can be used are often lost…