# ML Introduction

Welcome to my Machine Learning and AI notebook.

### 🧱 AI and ML Fundamentals

- [AI Best Practices](https://wiki.jamesravey.me/books/ai-and-ml/page/ml-best-practices "ML Best Practices") - some thoughts and principles that I've built up during my career building data projects.
- [Learning with Limited Data](https://wiki.jamesravey.me/books/ai-and-ml/page/learning-with-limited-data "Learning with Limited Data") - thinking around
- [AI Causing Chaos](https://wiki.jamesravey.me/books/ai-and-ml/page/ai-causing-chaos "AI Causing Chaos") - a compilation of examples of AI cautionary tales.

### 🗃️ Data Collection and Annotation  


- Working with [Argilla](https://wiki.jamesravey.me/books/ai-and-ml/page/argilla "Argilla")

### 📚 LLMs and Small/Specialised Language Models (SLMs)

- [Local LLMs](https://wiki.jamesravey.me/books/working-with-llms/page/local-llms "Local LLMs")
- Reproducibility
- SLMs