Introducing ASPIRE for selective prediction in LLMs

Posted by Jiefeng Chen, Student Researcher, and Jinsung Yoon, Research Scientist, Cloud AI Team

In the fast-evolving landscape of artificial intelligence, large language models (LLMs) have revolutionized the way we interact with machines, pushing the boundaries of natural language understanding and generation to unprecedented heights. Yet, the leap into high-stakes decision-making applications remains a chasm too wide, primarily due to the inherent uncertainty of model predictions. Traditional LLMs generate responses recursively, yet they lack an intrinsic mechanism to assign a …

applications artificial artificial intelligence aspire chen cloud cloud ai decision intelligence landscape language language models language understanding large language large language models llms machines making natural natural language prediction research researcher research scientist selective prediction team understanding