Update readme (#8)

README.md

@@ -1,6 +1,7 @@
 # The Cookbook
-Deep learning for dummies. All the practical details that go into working with real models.
+Deep learning for dummies, by Quentin Anthony et al. 
 
+All the practical details that go into working with real models!
 
 
 ## Table of Contents
@@ -34,6 +35,8 @@ For benchmarks (e.g. communication)
 
 [Transformer Training and Inference VRAM Estimator](https://vram.asmirnov.xyz/) by Alexander Smirnov. User-friendly tool to estimate VRAM overhead.
 
+[Cerebras Model Lab](https://www.cerebras.net/model-lab/). User-friendly tool to apply Chinchilla scaling laws.
+
 ## Minimal Repositories for Understanding
 
 GPT Inference