AI Project: Controlling Stable Diffusion with ControlNet (Sketch-to-Image)
Standard Stable Diffusion is amazing, but it’s chaotic. You type “cat,” and you get a cat, but maybe not the cat pose you wanted. Hugging…
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Standard Stable Diffusion is amazing, but it’s chaotic. You type “cat,” and you get a cat, but maybe not the cat pose you wanted. Hugging…

In Fine-Tuning (Part 3: Evaluation & Sharing), we fine-tuned a small BERT model. But if you try to fine-tune a modern LLM (like Llama 3…

So far, we’ve used load_dataset to pull pre-made datasets (like “imdb“) from the Hugging Face Hub. But the real power is training an AI on…

This is the most important AI project of the “2026 Vision.” Building a Python RAG Chatbot is a practical example of how RAG (Retrieval-Augmented Generation)…

This “capstone” project combines all the Polars time-series skills you’ve learned. In this exercise, you’ll put Polars Time-Series Analysis techniques into practice. Goal: Take noisy,…

We’ve used AI to understand text, images, and audio. But what about relationships? For this, we need Graph Neural Networks (GNNs). A GNN is a…

In our previous Hugging Face with gpt-2 project, we used the text-generation pipeline. This is great, but it hides all the powerful options. In this…

So far, all our AI projects have been “supervised” (learning from data) or “generative” (creating new things). Reinforcement Learning (RL) is a completely different beast….

Zero-Shot Object Detection is one of the most exciting frontiers you can explore in this field. It’s the ultimate Computer Vision project, combining two of…

This is the project that ties all your PyScript skills together. In this guide, you’ll learn how to create a PyScript Data Dashboard. We will…