All the articles with the tag "generative-ai".
A modern, industry-standard approach to building robust RAG systems using OpenSearch as the core engine. Transition from simple vector retrieval to production-grade multimodal systems handling text, images, and video with advanced patterns like hybrid search, query rewriting, parent-document retrieval, and cross-encoder reranking.
A clear introduction to diffusion and guided diffusion — how a simple physical process became a foundation for modern generative AI, from Stable Diffusion to robotics and protein design.
How diffusion models predict action sequences instead of pixels. Covers Diffusion Policy, world models for robotics, and connecting diffusion to reinforcement learning for autonomous systems.
The evolution of image diffusion models from U-Net architectures to Diffusion Transformers (DiT). Covers latent diffusion, the DiT revolution, and the complete image generation pipeline.
Deep dive into state-of-the-art video generation models: Sora, Veo 3, and Open-Sora. Plus motion modeling techniques using optical flow, geometry, and diffusion fields.
How video diffusion models are built through pre-training and aligned through post-training. Covers the billion-frame training problem, DPO, RLHF, and the complete training pipeline.