Hello everyone! I am reading and diving into single cell foundation models, and have struglling to wrap up my head between masked objective and Next Token Objective in single cell foundation. masked objective are easy to understand, you just mask a percentage of input gene tokens, then you predict them and optimize the loss function which is count based. for Next Token Objective, there isn't an ordered data structure unlike in NLP, this where my confusion steams from. submitted by /u/BiggusDikkusMorocos [link] [comments]