In my previous entry I showed you step-by-step instruction of how to develop a simple code for general text-based chat app. If you haven’t seen it yet, give it a try: Create Your first Chat App with PaLM 2. In this short entry I want to show you how you can test/run/showcase such application using Google Colaboratory
Quick introduction to colab
Google Colaboratory, commonly referred to as “Colab,” is a free cloud service hosted by Google to encourage Machine Learning and Artificial Intelligence research. It provides a versatile environment that combines executable code, rich text, and graphics to help users create, collaborate on, and share documents. Colab is based on the Jupyter notebook environment and supports Python 3 interpreters. It offers free access to computing resources including GPUs and TPUs which can be particularly beneficial for resource-intensive tasks. This platform is widely used for educational purposes, data analysis, and prototyping, as it allows users to write and execute code, save and share their analyses, and access powerful computing resources, all through their browsers without the need for any setup.
Sounds perfect for our use case, doesn’t it?
