Starter Kits Documentation
This document provides detailed information about all five starter kit modules available for your final projects. Each module includes comprehensive components, example use cases, and required packages.
Starter Kits Overview
Pick one module to view details and starter code.
Module 1: Traditional Generative ML
Traditional generative ML for synthetic data generation and prediction.
Module 2: LLM for Structuring Information
LLMs to structure unstructured text into analyzable formats.
Module 3: Multimodal Reasoning
Multimodal (vision-language) reasoning over images and text.
Module 4: CV Models (Segmentation, Detection, Tracking)
Computer vision: detection, segmentation, tracking, and visual analytics.
Module 5: Bias Detection & Interpretability
Bias detection, fairness evaluation, and interpretability tooling.
Getting Started
- Choose your module based on your interests and project goals
- Review the use cases to understand potential applications
- Access the starter code in the corresponding
starter_kits/directory - Download the datasets from the provided sources
- Follow the code examples to understand the implementation approach