Explore Novel Parallelization Strategies And Input Reduction Techniques For Efficient Llm Inference With Extremely Long Contexts.
Exploring The Latest Techniques For Enhancing Context Length, Accelerating Inference, And Breaking Free From Traditional Transformer Limitations In Language Models.
Explore The Newest Architectures And Evaluation Frameworks Designed To Push The Boundaries Of Long-Context Language Modeling.
