Making AI-generated code more accurate in any language
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
This new tool offers an easier way for people to analyze complex tabular data.
Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.