A look under the hood of transfomers, the engine driving AI model evolution
How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.
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Simba_Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture.md
Package-level integration using multi-chip-modules (MCMs) is a promising approach for building large-scale systems. Compared to a large monolithic die, an MCM combines many smaller chiplets into a ...
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
The key to enabling faster training is to employ multiple GPUs and/or go for a lower-resolution dataset. To this end, config.py contains several examples for commonly used datasets, as well as a set ...