Tagged: diffusion-llm

Inception builds diffusion-based large language models (dLLMs) that generate text in parallel instead of one token at a time. Its flagship Mercury family is positioned as the first commercial-scale diffusion LLM, reporting 5–10x faster throughput than traditional autoregressive models at competitive quality, with Mercury Coder targeting code generation and Mercury 2 reasoning workloads.