Running a trained model to get an output — as opposed to training, which is producing the model in the first place.
Read definitionRunning a trained model to get an output — as opposed to training, which is producing the model in the first place.
Read definitionTraining a small model to imitate a large one, keeping most of the capability at a fraction of the cost.
Read definitionStoring model weights at lower numerical precision to cut memory and speed up inference, trading a little accuracy for a lot of resource.
Read definitionA database built to store embeddings and find the nearest ones fast, which is what makes semantic search practical at scale.
Read definition8 subject areas across 32 definitions — start wherever you already are.
The core ideas behind systems that learn patterns from data.
7 termsNeural networks with many layers, and the machinery that trains them.
5 termsHow machines read, generate and reason about human language.
7 termsModels that produce new text, images, audio or code.
4 termsMaking sense of images and video.
1 termDatasets, labelling, evaluation and the training loop itself.
1 termAlignment, bias, interpretability and the limits of these systems.
3 termsServing, scaling and running models in production.
4 terms