Ulysses Sequence Parallelism: Training with Million-Token Contexts
Training large language models on long sequences has become essential for building capable AI systems. As models are increasingly used for tasks like document analysis, code understanding, complex reasoning, and RAG workloads, the need to process sequences of hundreds