LLMs Generalize Better with Less Hand-Labeled Training
February 13, 2025
Large Language models(LLMs) can generalize better when left to create their own solutions, a new study by Hong Kong University and University of California, Berkeley, shows. The findings, which apply to both large language models (LLMs) and vision language models (VLMs), challenge one of the main beliefs of the LLM community — that models require hand-labeled training examples. In fact, the…
