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Where the knowledge comes from

The three stages that turn a predictor into an assistant

The knowledge cutoff and what it really means

Checkpoint: training and knowledge

Where the personality comes from

Preference training, and the strange habits it creates

System prompts and the hidden instructions above your own

Checkpoint: personality and instructions

Where a model's knowledge, personality and blind spots come from: pretraining, fine-tuning, RLHF, system prompts, and why every model has a different character.

The architecture explains how a model produces fluent text. It does not explain why it is helpful, why it refuses things, or why it apologises so much.

How a Model Gets Its Personality

<div class="simple-box-wrapper"> <div class="simple-box"> <div class="column"> <h3>Description</h3> <div class="ck-horizontal-line"><hr></div> <p>I'm a paragraph. Click to start writing that will inform, inspire, or encourage your community. We know you have so many things to share with the world. Happy editing!</p> </div> </div> </div>