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This company develops Mercury diffusion Large Language Models (dLLMs) that generate text tokens in parallel for significantly faster inference speeds than traditional sequential LLMs. Their API offers OpenAI compatibility, enabling low-latency applications like real-time voice agents, rapid code editing, and enterprise search. The models provide frontier quality performance at a reduced operational cost for developers and enterprises.
Updated 2 months ago
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- This company develops Mercury, a diffusion Large Language Model (dLLM) architecture that generates text tokens in parallel for significantly faster inference speeds. Their API provides OpenAI-compatible access to general-purpose and code-optimized dLLMs capable of powering low-latency applications like real-time voice agents and rapid enterprise search. The models offer frontier quality performance at a reduced operational cost compared to sequential LLMs.