Foundational AI Papers & Concepts
On this page, we feature fundamental AI papers that have made a profound impact, along with essential AI concepts.
DeepSeek-R1 Paper Explained – A New RL LLMs Era in AI?
Dive into the groundbreaking DeepSeek-R1 research paper, introduces open-source reasoning models that rivals the performance OpenAI’s o1!…
Introduction to Mixture-of-Experts | Original MoE Paper Explained
Diving into the original Google paper which introduced the Mixture-of-Experts (MoE) method, which was critical to AI progress…
Vision Transformers Explained | The ViT Paper
In this post we go back to the important vision transformers paper, to understand how ViT adapted transformers to computer vision…
DINOv2 from Meta AI – A Foundational Model in Computer Vision
DINOv2 by Meta AI finally gives us a foundational model for computer vision. We’ll explain what it means and why DINOv2 can count as such…
Consistency Models – Optimizing Diffusion Models Inference
Consistency models are a new type of generative models which were introduced by Open AI, and in this post we will dive into how they work…