Tag
UniSE is a unified, prompt-free, autoregressive speech enhancement model based on a decoder-only language model, supporting multiple tasks like speech restoration, target speaker extraction, and speech separation in a single model.
A merged PR in llama.cpp implements a new 'Gemma 4 Unified' model type, suggesting Google's upcoming release with a transformer-less vision tower.
Files SDK is a unified storage SDK for object and blob backends, simplifying integration across different storage providers.
TorchUMM is a unified codebase for evaluating and analyzing multimodal models across understanding, generation, and editing tasks, with standardized protocols and diverse datasets, enabling fair comparisons and deeper insights into model strengths and limitations.