This repository houses a collection of notebooks dedicated to exploring various aspects of Generative AI, classical Machine Learning, and Data Analysis. Each notebook investigates different concepts, techniques, or applications, primarily using Python. The goal of this repository is to share notebooks I made along the way in the aspiration that it may be useful to others. Each notebook is self-contained and focuses on a specific area, allowing for easy experimentation and learning.
This notebook introduces an AI-powered proofreading tool that leverages Anthropic's Claude Sonnet model to enhance Word documents. It's designed to catch subtle language and style errors often missed by standard spell-checkers, supporting multiple languages including English, German, Italian, and French.
Key features:
- Uses the Claude API for intelligent text processing
- Handles large-scale text correction in multiple languages
- Highlights corrections in colour for easy identification
- Preserves original document semantic meaning and structure
- Includes comprehensive testing and evaluation
The notebook also serves as a demonstration of AI-assisted development, showcasing how complex tools can be created with basic coding skills and AI collaboration.
Coming soon
- Click on the "View Notebook" link for the notebook you're interested in.
- For a more detailed explanation, click on the "Detailed README" link.
- To run the notebook in Google Colab, click on the "Open in Colab" badge.
- Always save your own copy of a Notebook to run it, for 100% data privacy.
- You can run the cells and experiment with the code directly in your browser.
Michelle