Tutorial 1: sample project
The fastest way to see the pipeline work end to end is to use the sample project that np workspace init already generated for you. Using the sample project means there is no project or dataset setup to do first.
Tutorial 2: Computer vision (CV) model
This section provides an end-to-end walkthrough for optimizing a computer vision model using the GO + GQ pipeline.
Tutorial 3: Large language model (LLM)
This section provides an end-to-end walkthrough for optimizing a language model using the AQ + GO + GQ pipeline.
Tutorial 4: Bring Your Own Model (BYOM) and Bring Your Own Data (BYOD)
This section provides an end-to-end walkthrough for registering a model you provide (BYOM) and a dataset you provide (BYOD), then running the optimization pipeline against them.