The Bot Shelf

Transformers

3 articles

Editorial illustration for Foundation Models Explained: Why Transformers Handle Language and Diffusion Models Paint Pictures
Research & Breakthroughs

Foundation Models Explained: Why Transformers Handle Language and Diffusion Models Paint Pictures

Foundation models are large neural networks trained on broad datasets, serving as versatile bases for numerous tasks. Two dominant architectures, Transformers for language and Diffusion models for images, define their capabilities and inherent risks like bias and hallucination.

David Katzman·October 15, 2026
An abstract representation of an AI brain with glowing neural networks, symbolizing the complex attention mechanisms that power advanced Transformer models.
Explainers

What Are Attention Mechanisms and Why Do They Power Transformers?

A single Transformer model, built exclusively on attention mechanisms, achieved a 41.

Meera Iyer·September 20, 2026
Abstract visualization of an AI brain processing language, highlighting the challenges of positional encoding and the innovative ADAT architecture's solution.
Explainers

Positional Encoding for LLMs: Challenges and ADAT's Solution

A novel Adaptive Transformer (ADAT) architecture has demonstrated superior translation accuracy and faster training times on complex datasets like MedASL, offering a clearer window into nuanced commun

Meera Iyer·July 7, 2026