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.
Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user instructions. However, recent studies have shown significant limitations in LLMs’ instruction-following capabilities, raising concerns about their reliability in high-stakes applications. Accurately estimating LLMs’ uncertainty in adhering to instructions is critical to…