The blog post introduces Consistency Large Language Models (CLLMs), efficient parallel decoders that greatly improve inference speed compared to traditional sequential decoders. CLLMs are trained to map any n-token sequence to its autoregressive counterpart in fewer steps and can achieve up to 3.4x speed improvements.