Inside LLMs: Neural Networks & Attention
What happens between a sentence entering a language model and the model producing an answer? At the transformer level, three ideas do much of the explanatory work: numerical representations, attention and sequence structure. Together they help explain how information in the available context can interact while a model computes its next output. For marketers, this … Read more