The article introduces and praises the improved features of GPT-4 Turbo, emphasizing its performance and addressing recent API changes. It offers practical insights by presenting a Python code snippet for a console-based chatbot using OpenAI's GPT-4 Turbo. The inclusion of an example interaction demonstrates the bot's responses. The reader is encouraged to run the provided code, enhancing understanding and practical application.

Discover the game-changing potential of GPT-4 Turbo's 128,000 token context window and its implications for AI-powered text generation.

We show how to easily use a neural network to interpolate a noisy function in Python. The neural network API Keras on top of Tensorflow is used.

A simple Flask web application is demonstrated: How to to play internet radio streams from a remote computer. The streams are loaded from an SQLite database.

A short howto is provided to make a Joomla site load from static html files. This yields a drastic increase in page speed.