Everyone’s talking about synthetic data generation — but what’s the recipe for scaling it without model collapse? 🤔 Meet ALMA: Alignment with Minimal Annotation. We've developed a new technique for generating synthetic data and aligning LLMs that achieves performance close to… https://t.co/hh6WK3p6pu

Check out our new benchmark on Evaluating LMs as Synthetic Data Generators! Main findings: - LMs' ability to generate synthetic data varies - This is not necessarily correlated with problem solving ability - More data from cheaper models is often better than less from stronger https://t.co/HJCeLNOBTT

arXivGPT@arXivGPT

2 years ago

🏷️:Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models 🔗:https://t.co/47EUQGzGzh https://t.co/oRPP7ucLI4