Decoder Only Transformer

Decoder-only transformers, a type of neural network architecture, are being extensively studied for their potential in various applications, primarily focusing on autoregressive sequence generation. Current research emphasizes improving their efficiency and capabilities, particularly addressing limitations in context length and computational complexity through techniques like optimized attention mechanisms (e.g., FlashAttention, LeanAttention) and key-value cache compression. This research is significant because it pushes the boundaries of large language models and other sequence-based tasks, impacting fields ranging from natural language processing and speech recognition to computer vision and even materials science.