A comprehensive primer on tokenization, embedding generation, multi-headed self-attention, causal masking, Transformer blocks, model variants, and training paradigms
A Friendly Introduction to Large Language…
A comprehensive primer on tokenization, embedding generation, multi-headed self-attention, causal masking, Transformer blocks, model variants, and training paradigms