AI support for fusion experiments - feature extraction, embeddings, and natural language data analysis
Project description
nucleai
AI Support for Fusion Experiments
nucleai is a codegen-first library designed to empower fusion research with advanced AI capabilities. It provides a comprehensive workflow for extracting features from fusion data, generating rich descriptions, and creating vector embeddings for both feature images and text.
Key Features
- Natural Language Interface: Ask questions about data and test hypotheses using natural language.
- Data Search & Retrieval: Advanced search capabilities using text and feature shapes.
- Analysis & Display: Automated analysis and visualization of experimental data.
- Feature Extraction: Automated extraction of significant features from experimental fusion data.
- Vector Embeddings: Generation of embeddings for feature images and text descriptions to enable semantic understanding.
- Codegen-First Design: Built to be driven by AI agents and code generation tools, allowing users to request complex, novel plots and processing pipelines on demand.
Getting Started
(Instructions for installation and usage will be added here)
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