Diffusion LLM: Closer to Human Thought
- Juan Manuel Ortiz de Zarate
- Mar 7
- 9 min read
In recent weeks, the AI community has been abuzz with the launch of Mercury by Inception Labs [1], a groundbreaking diffusion-based large language model (dLLM) designed to drastically accelerate text generation. Mercury showcases the power of diffusion models for discrete data, achieving speeds up to 10 times faster than traditional autoregressive models while maintaining high-quality output. This major advancement reinforces the growing relevance of diffusion techniques in natural language processing and aligns closely with the principles behind Score Entropy Discrete Diffusion (SEDD)[2], the focus of this article.
Want to read more?
Subscribe to transcendent-ai.com to keep reading this exclusive post.
