You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits…