What are Diffusion Models? | IBM

Sequence models have skyrocketed in popularity for their ability to analyze data & predict what to do next. MIT’s "Diffusion Forcing" method combines the strengths of next-token prediction (like w/ChatGPT) & video diffusion (like w/Sora), training neural networks to handle corrupted data while predicting the next steps. This flexible, reliable sequence model helps produce higher-quality artificial videos and guides more precise decision-making for robots & AI agents: https://bit.ly/3BK2wWC Full

Introduction to Diffusion Models for Machine Learning

🚀 Types of Gen AI Models Explained Generative AI is powering the next wave of digital transformation — enabling machines to create text, images, audio, and even code with human-like fluency. But not all Gen AI models work the same way. Today, four major architectures dominate the landscape — each with unique strengths and applications. 🔹 1. Transformer Models (e.g., GPT, BERT) Transformers are the backbone of modern natural language processing. They: Break text into tokens Encode positional co