Category: Projects

In this article, I’ll walk through my recent project of building a neural network that can generate Python code from natural language descriptions. By leveraging the power of GPT-2 and training it on real-world Python code from the CodeSearchNet dataset, I was able to create a model that translates comments and documentation into functional code snippets.

Text-to-image generation has become one of the most exciting areas in AI research, enabling computers to create visual content from textual descriptions. In this blog post, I’ll break down a fascinating implementation that combines Vector Quantized Variational Autoencoders (VQ-VAE) with Transformer models to generate images from text descriptions.