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Machine Learning Glossary: Difference between revisions
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* L1, L2, Lp norm - Two common norms used for computing accuracy or losses. Lp is the general form where the exponent is ''p''. | * L1, L2, Lp norm - Two common norms used for computing accuracy or losses. Lp is the general form where the exponent is ''p''. | ||
* Large Language Model (LLM) - A neural network, typically a transformer (see GPT), which is trained to understand language. | |||
* Latent code - an input to a neural network which gets optimized during training to represent a particular state or value | * Latent code - an input to a neural network which gets optimized during training to represent a particular state or value | ||
* Loss function - Target function which you are attempting to minimize. | * Loss function - Target function which you are attempting to minimize. | ||