Augmenting Large Language Models
Augmenting vs Training Large Language Models
One of the most consequential decisions in any AI project is whether to augment an existing Large Language Model or train (or retrain) one. The wrong choice can cost months of engineering effort, hundreds of thousands of dollars in compute,...
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Large Language Models are remarkably capable out of the box, but they have well-known limitations — stale training data, hallucinations, no access to private knowledge, inability to take actions in the real world, and lack of domain depth. Augmentation is...
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