Transformers Explained Visually

kept by eddie sep 26

The article visually explains how transformer neural networks work, breaking down attention mechanisms and architecture for intuitive understanding for learners.

How did ‘large’ language models get that way? The role of Transformers and Pretraining in GPT - LessWrong 2.0 viewer
The transformer architecture and pretraining enabled enormous scaling of language models, making 'large language models' a fitting description.
also on Transformer, #machine-learning, #software-engineering, #ai
How To Scale Your Model
This online book teaches LLM scaling through roofline analysis, TPU/GPU hardware, Transformer math, and parallelism techniques to estimate training and inference costs.
also on Transformer, #machine-learning, #software-engineering