Personalization has the potential to democratize who decides how LLMs behave
A new paper from researchers at Oxford Internet Institute, University of Oxford, highlights the benefits and risks of personalizing Large Language Models (LLMS) to their users.
Researchers at the University of Oxford, in collaboration with international experts, have published a new study in Nature Machine Intelligence addressing the complex ethical issues surrounding responsibility for outputs generated by large language models (LLMs).
A new study led by researchers at the University of Oxford and the Allen Institute for AI (Ai2) has found that large language models (LLMs)—the AI systems behind chatbots like ChatGPT—generalize language patterns in a surprisingly human-like way: through analogy, rather than strict grammatical rules.
Modern AI systems are being deployed in complex domains such as medicine, science, and law, where there is often not a single correct answer given the observed evidence. Such systems must be able to represent and update uncertain beliefs about the world as new evidence arrives to make rational decisions.…