We developed a retrieval system for UI components that combines transformer-based embeddings with generative pre-processing. This approach enables latent semantic querying with natural language expressions rather than strict term matching.
This paper introduces Direct Nash Optimization (DNO), a novel approach that integrates stability and generality in large language model post-training, moving beyond traditional reward maximization limits.