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Inception Labs has launched Mercury Coder, a new AI language model that employs diffusion techniques to achieve text generation speeds up to 10 times faster than existing models. Mercury Coder can generate over 1,000 tokens per second when running on NVIDIA H100 GPUs, representing a significant advancement in AI text generation capabilities. This model utilizes a parallel coarse-to-fine approach, enabling near-instant outputs while maintaining high-quality responses at lower costs. Mercury Coder is the first large-scale diffusion large language model (dLLM) to generate text in parallel, marking a notable shift in the efficiency and speed of AI language processing.
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Inception Labs' Mercury Coder uses #AI diffusion techniques to generate text 19x faster than GPT-4o Mini, achieving over 1,000 tokens per second—reshaping the speed paradigm in AI text generation🚀📝 #Technology #ArtificialIntelligence #AINews https://t.co/NsA8Gu5aac
