Inception Labs: Making LLMs Faster and More Cost-Efficient
SMRTR summary
Inception Labs has developed Mercury, a diffusion-based language model that generates tokens in parallel rather than sequentially like traditional autoregressive models such as ChatGPT and Claude, making it 5-10 times faster and more cost-efficient at 25 cents per million input tokens, with the company focusing on speed-sensitive applications like coding auto-complete and voice agents.
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