Large Language Models
2023
INTERMEDIATELLaMA: Open and Efficient Foundation Language Models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al. · 2023
LLaMA. Open-weights foundation model family that matched or beat GPT-3 at a fraction of the parameters and catalysed the open-source LLM ecosystem.
What you'll get
- Outline: a plain-English breakdown of the paper's core idea, prerequisites, and the concepts you'll need to implement it.
- Exercises: five to ten hands-on tasks, each with a concept card, a prompt, a starter code stub, and a collapsible reference solution.
- Runnable notebook: a single
.ipynbyou can download and open in Jupyter or VS Code to work through every exercise. - Extensions: suggested follow-up experiments so you don't stop at a faithful reimplementation.