Continuous diffusion language models

Continuous diffusion language models

Fully discrete methods dominated for a few years, but language models based on continuous diffusion are making a comeback.

How Stable Diffusion works

Understand in a simple way how Stable Diffusion transforms a few words into a spectacular image.

Beyond Standard LLMs

Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers

Models overview

Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces the available models and compares their performance.

Scaling Laws Across Model Architectures: A Comparative Analysis of...

The scaling of large language models (LLMs) is a critical research area for the efficiency and effectiveness of model training and deployment. Our work investigates the transferability and...

The Case Against LLMs as Rerankers

Authors: Apoorva Joshi, Zhenmei Shi, Akshay Goindani, Hong LiuResearch Leads: Zhenmei Shi, Akshay Goindani, Hong Liu Large language models are increasingly being used for a broad range of tasks, in…

Recursive Language Models: the paradigm of 2026

How we plan to manage extremely long contexts

Large language models are cultural technologies. What might that mean?

Four different perspectives

What comes next with open models

Markets, capabilities, cope, and bewilderment in the industrialization of language models.

Mixture-of-Experts (MoE): The Birth and Rise of Conditional Computation

What two decades of research taught us about sparse language models...