Gemma 4 introduces enhanced multimodal capabilities, supporting image, text, and audio inputs, significantly improving model intelligence and deployment flexibility across devices.
Ulysses Sequence Parallelism addresses the challenges of training large language models with long sequences, significantly enhancing the capability to process million-token contexts.
The application of diffusion models in video generation reveals challenges in temporal consistency and data requirements.
High-quality human data is crucial for modern deep learning model training, and this article explores the factors influencing data quality and methods for optimization.
Karpathy reproduces the 1989 LeCun paper on deep learning, revealing the evolution of deep learning technology and potential future directions.