Inception Labs builds diffusion-based large language models (dLLMs) branded Mercury. Unlike autoregressive models that emit tokens one at a time, Mercury generates many tokens in parallel through discrete diffusion, running 5-10x faster at roughly half the cost of comparable frontier models.
What is the api-evangelist/inception GitHub project? Description: "Inception Labs builds diffusion-based large language models (dLLMs) branded Mercury. Unlike autoregressive models that emit tokens one at a time, Mercury generates many tokens in parallel through discrete diffusion, running 5-10x faster at roughly half the cost of comparable frontier models.". Explain what it does, its main use cases, key features, and who would benefit from using it.
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