DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Diffusion large language models (dLLMs) are compelling alternatives to autoregressive (AR) models because their denoising…
Category: Machine Learning
Why it’s critical to move beyond overly aggregated machine-learning metrics
New research detects hidden evidence of mistaken correlations — and provides a method to improve…
Building a community-led future for AI in film with Sundance Institute
A look at how Sundance Institute will build a community-led ecosystem for AI education and…
The Machine Learning Practitioner’s Guide to Model Deployment with FastAPI
If you’ve trained a machine learning model, a common question comes up: “How do…
Top 5 Agentic AI Website Builders (That Actually Ship)
I have been building a payment platform using vibe coding, and I do not have…
The Complete Guide to Data Augmentation for Machine Learning
Suppose you’ve built your machine learning model, run the experiments, and stared at the results…
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Recurrent Neural Networks (RNNs) laid the foundation for sequence modeling, but their intrinsic sequential nature…
The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining
Large-scale models are pretrained on massive web-crawled datasets containing documents of mixed quality, making data…
Generative AI in the Real World: Aurimas Griciūnas on AI Teams and Reliable AI Systems
SwirlAI founder Aurimas Griciūnas helps tech professionals transition into AI roles and works with organizations…
How Nano Banana got its name
We’re peeling back the origin story of Nano Banana, one of Google DeepMind’s most popular…