AI text generation using TensorFlow tutorial in google colab

Introduction

In this article, we will walk through a tutorial on using TensorFlow in Google Colab to create new Shakespearean text using AI. The tutorial covers the process of creating your own text file with a set of text, importing it into Google Colab, and generating new AI-generated text based on the input. The steps include setting up a text file with commencement speeches, uploading and processing the text data, building and training the model, generating the new text, and reviewing the output.

To follow along with the tutorial, viewers are guided on using TextEdit on a Mac to create a plain text file, adjusting settings in Google Colab to upload and process the text file, training the AI model, and generating new text based on the input data. The tutorial showcases the process of generating unique AI-generated text from a set of commencement speeches input.

Keywords

TensorFlow, Google Colab, AI text generation, tutorial, Shakespearean text, commencement speeches, model training

FAQ

1. What software is used for creating and editing the text file in this tutorial?
   • TextEdit on a Mac is used to create and edit the plain text file for input data.
2. How is the text file uploaded and processed in Google Colab?
   • The tutorial shows how to navigate Google Colab, upload the text file, and process the data to train the AI model.
3. What settings can be adjusted for text generation in the tutorial?
   • The tutorial mentions adjusting parameters like temperature and the number of characters to generate to customize the text output.
4. How is the AI model trained in Google Colab?
   • Viewers are guided through the process of training the AI model using the provided TensorFlow tutorial in Google Colab to generate new text based on the input data.