A Day of AI

Unless you've lived in a cave in recent months, you've heard about ChatGPT, GPT-4, DALL-E, and other deep-learning models that elevated AI into the mainstream. Are you curious to know what they are, how they were built, how they work, and, more importantly, how to use them to infuse AI into apps and business processes? Bring your laptop and take a deep dive into AI in this hands-on workshop. Learn how to build sophisticated deep-learning models of your own with Keras and TensorFlow and how to use state-of-the-art models such as ChatGPT and CLIP to work magic in your code.

Prerequisites:

1. An OpenAI API key. You can get one free by creating an OpenAI account at https://platform.openai.com/signup and then visiting the API Keys page at https://platform.openai.com/account/api-keys.
2. A Python 3.8 or higher environment with Jupyter Notebooks or Jupyter Lab installed and the following packages installed: 
   • scikit-learn
   • numpy
   • pandas
   • matplotlib
   • seaborn
   • requests
   • librosa
   • flask
   • tensorflow
   • transformers
   • torch
   • openai

You can install these packages using pip install commands, or you can download and install a 64-bit version of Anaconda instead (https://www.anaconda.com/products/distribution). Anaconda provides a complete Python environment and already has most of these packages installed.

If you’d prefer not to set up a Python environment, you can work most of the exercises in Google Colab (https://colab.research.google.com/). It’s free, and it runs entirely in a browser. Yet another option if you have the Docker runtime installed is to use a preconfigured environment in a Docker container. Use the following command to start the container: docker run -it -p 8888:8888 jupyter/tensorflow-notebook:latest

Then point your browser to the URL shown in the command-prompt/terminal window.