Explainers, field guides, and videos from our team. We turn dense AI research and hard technical topics into something a non-specialist can actually follow.
A field guide to how modern AI systems are built, trained, shrunk, and run: parameters, pre-training, post-training, parameter-efficient methods, quantization, retrieval, and inference, and how each stage maps to real hardware and real cost.
Short, narrated walkthroughs of the topics above. They publish to our YouTube playlist below.