Update papillon tutorial link to colab

Author: arnavsinghvi11

docs/docs/tutorials/papillon/index.md

@@ -1,7 +1,7 @@
-Please refer to [this tutorial from the PAPILLON authors](https://github.com/Columbia-NLP-Lab/PAPILLON/blob/main/papillon_tutorial.ipynb) using DSPy.
+Please refer to [this tutorial from the PAPILLON authors](https://colab.research.google.com/github/Columbia-NLP-Lab/PAPILLON/blob/main/papillon_tutorial.ipynb) using DSPy.
 
 This tutorial demonstrates a few aspects of using DSPy in a more advanced context:
 
 1. It builds a multi-stage `dspy.Module` that involves a small local LM using an external tool.
 2. It builds a multi-stage _judge_ in DSPy, and uses it as a metric for evaluation.
-3. It uses this judge for optimizing the `dspy.Module`, using a large model as a teacher for a small local LM.
+3. It uses this judge for optimizing the `dspy.Module`, using a large model as a teacher for a small local LM.