Under The Hood

Under The Hood is a channel that breaks down complex tech concepts into visually engaging and easy-to-understand explanations. The content covers a range of topics from AI and machine learning to software architecture and web development.

The channel's recent videos provide detailed explanations of large language model (LLM) components and training processes. These include the transformer architecture, attention mechanisms like Multi Query Attention (MQA) and Grouped Query Attention (GQA), KV caching, the RAG (Retrieval-Augmented Generation) framework, and dataset preparation for model pretraining.