How Large Language Models Work: An Implementation-Level View
Large Language Models are incredibly complex – and it takes examining many facets to understand how to best implement them to solve real-world problems. One could look at it from the design perspective (layers, heads of attention, vocabulary size), the training perspective (vast data + calculus), or even through the lens of the inference math (matrix […]

