From Transformers to Diffusion LLMs: Understanding LLaDA
www.youtube.com- Category
- Education
- Type
- ARTICLE
- Builder
- @juliarturc
- Added
- Jul 28, 2026
About
An educational video that traces the evolution of Transformer architecture from machine translation to the backbone of modern AI, explaining how attention replaced recurrence, how GPT's autoregressive training differs from diffusion-based generation, and how BERT's masked language modeling inspired the LLaDA diffusion LLM. It includes a step-by-step walkthrough of LLaDA's masked diffusion process for text generation.
Why it made the leaderboard
If you only have intuition for autoregressive next-token generation, this gives you a concrete mental model of how diffusion LLMs like LLaDA generate text via iterative unmasking — including why BERT-style masked modeling is the ancestor rather than GPT. Useful before you evaluate whether diffusion-based decoding is worth trying for latency- or infilling-sensitive workloads.
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