<ul data-eligibleForWebStory="false"><li>To make a large language model (LLM) smart, it is provided with a vast library containing human writings to observe patterns, rather than to memorize.</li><li>The LLM learns through a neural network, which adjusts parameters within a giant brain-like structure by predicting what comes next in billions of words.</li><li>After extensive training, the model can respond to queries by echoing tones similar to the language style it has been exposed to from the internet.</li><li>Despite its appearance of intelligence, the LLM may occasionally generate false information due to making guesses based on patterns rather than facts.</li></ul>

How Does an LLM Learn and Build Its “Knowledge”?

Discover more