How BitNet Run a Transformer With (Almost) No Multiplication?
Author(s): Kyouma45 Originally published on Towards AI. How BitNet Run a Transformer With (Almost) No Multiplication? Paper-explained Series: 12 If you’ve read my earlier deep-dives on HRM, Mamba, and TRM, you know the recurring theme: the frontier isn’t only about making models …
Inside the Mamba-MoE Engine of Nemotron 3
Author(s): Kyouma45 Originally published on Towards AI. TL;DR The Models: The family includes Nano, Super, and Ultra.The Architecture: A Hybrid Mamba-Transformer Mixture-of-Experts (MoE) design that replaces most attention layers with Mamba-2 layers for high throughput. Key Innovations: LatentMoE: A new expert routing …
Hierarchical Reasoning Models: When 27M Parameters Outperform Chain-of-Thought
Author(s): Kyouma45 Originally published on Towards AI. Paper-explained Series 4 TL;DR Most AI models “reason” by talking themselves through problems using chain-of-thought, which is slow, brittle, and expensive.This article explains a different idea called the Hierarchical Reasoning Model (HRM). Instead of reasoning …