Concept
Machine learning
The field that studies how computers improve their performance on a task by learning patterns from data rather than being explicitly programmed.
Narrower concepts
- Large language modelsNeural network models, typically with billions of parameters, trained on very large text corpora to predict the next token.
- Model evaluationMethods and metrics used to estimate how well a model will perform on data it has not seen.
- QuantisationStoring a model's weights, and sometimes its activations or cache, with fewer bits per number, such as 8 or 4 instead of 16, to cut memory use and speed up computation at some possible cost in accuracy.
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