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DDPMdiffusion models

Diffusion Models Explained – From Noisy Images to State-of-the-Art Generation

For most of the 2010s, if you wanted to generate photorealistic images with a neural network, you worked with GANs – Generative Adversarial Networks. The results were impressive.…

Jun 6, 2026 6 min read
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factualityhallucination

Why Your Model Hallucinates – And What Researchers Are Actually Doing About It

If you’ve used a large language model for anything factual – a date, a citation, a person’s biography – you’ve probably encountered it: the model answers with complete…

Jun 6, 2026 5 min read
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architectureattention

Attention Is All You Need – But Do We Understand Why?

In 2017, a Google Brain paper with a quietly confident title rewired how the world thinks about sequence modeling. Attention Is All You Need didn’t just introduce a…

Jun 6, 2026 4 min read
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