An illustration for an article on Consistency Large Language Models (CLLMs). The image consists of a futuristic lab setting with a framed 3:2 ratio picture of several virtual, computer generated decoders illustrated in a cheerful and positive light. These decoder tokens are in the shape of different characters, each linked with parallel lines demonstrating parallel decoding. Some are solving large non-linear equations representing the Jacobi decoding method. Others show various process states symbolizing global consistency (GC) loss, local consistency (LC) loss, and traditional AR loss. Additionally, some tokens appear to predict their evolution, underlining the capability of CLLMs to predict correct tokens preemptively.

Consistency Large Language Models: A Family of Efficient Parallel Decoders

The document introduces Consistency Large Language Models (CLLMs), a new family of parallel decoders that…
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