ML Introduction

Welcome to my Machine Learning and AI notebook.

🧱 AI and ML Fundamentals

• AI Best Practices - some thoughts and principles that I've built up during my career building data projects.
• Learning with Limited Data  - thinking around
• AI Causing Chaos - a compilation of examples of AI cautionary tales.

🗃️ Data Collection and Annotation

• Working with Argilla

📚 LLMs and Small/Specialised Language Models (SLMs)

• Local LLMs and SLMs
• Reproducibility