ExplainingAI

ExplainingAI is a YouTube channel created by Tushar Kumar that focuses on explaining complex AI topics in a simple and visual manner. The channel covers machine learning, deep learning, and computer vision concepts, with recent videos detailing attention mechanisms like FlashAttention and Multi Head Latent Attention, positional encoding methods including Rotary Positional Embeddings (ROPE), and generative models such as Normalizing Flows and Flow Matching.

The channel states it aims to make learning easier and more fun for viewers interested in these technical areas. Recent content includes explanations of KV cache optimization in LLMs, mixed precision training implementations in PyTorch, and architectural breakdowns of models like YOLOv5 and Mistral 7B.