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Transformers, the tech behind LLMs | Deep Learning Chapter 5
Scalable Diffusion Models with Transformers (DiT) Diffusion Transformers
Diffusion Transformers with Representation Autoencoders (Paper Walkthrough)
Diffusion Transformers (DiT) Explained: Replacing U-Nets with Transformers
Diffusion in Transformers Tutorial and Explainer
Transformers & Diffusion LLMs: What's the connection
DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)
Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond
ConceptAttention Interpretable Features in Diffusion Transformers
But how do AI images and videos actually work | Guest video by Welch Labs
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Last Updated: October 1, 2026
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Summary
Ever wondered how AI turns a simple text prompt into a breathtaking masterpiece? In this deep-dive technical lecture, we ... In this video, we'll dive deep into Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ... Paper: arxiv.org/abs/2510.11690 RibbitRibbit: ... Link to Arxiv Paper: arxiv.org/pdf/2212.09748 Link to Explainer Doc: ... dino Self-Supervised Learning is the final frontier in Representation Learning: Getting useful features ... May 27, 2025 Sayak Paul of Hugging Face The research introduces CONCEPTATTENTION, a novel method for interpreting text-to-image