5 upvotes
One algorithm trains all stages of foundation models
What is Training Foundation Models with a Single Algorithm?
The paper shows you can replace the usual multi-step pipeline, pretraining, mid-training, supervised fine-tuning, and reinforcement learning, with a single learning loop. It derives reinforcement-learning objectives that are mathematically equivalent to maximum-likelihood, so the same algorithm handles every phase.
Who it is for
Anyone building or researching large models can simplify their training stack and possibly cut engineering overhead.