LLMs explained: Neural networks that convert prompts to answers via training and inference
KordingLab · x · 2026-08-26
The post explains that LLMs essentially convert prompt words into answer words using a neural network. This process relies on two goals: language imitation and human ratings of answer quality. Modern LLMs consist of an inference component (generating answers) and a training component (improving answers).
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