Topic
9 articles covering tutorials — from fundamentals to practical engineering.
A code walkthrough of azario0's Qwen3-0.6B notebook — how AutoModelForCausalLM, chat templates, and TextIteratorStreamer combine to run a compact 0.6B-parameter language model with real-time, token-by-token output.
Learn how Qwen2.5-7B-Instruct-1M works and how to run it with Python and Hugging Face Transformers. This guide explains the repository, tokenizer, model loading, chat templates, GPU device mapping, text generation, and the architecture behind Qwen's 1-million-token context model.
A code walkthrough of azario0's AI Grammar Corrector — a Flask web app that uses Google's Gemini 1.5 Flash model to fix grammar, spelling, and punctuation in over 20 languages, with a look at its prompt design and Jupyter prototyping notebook.
A deep dive into azario0's gemini-code-reviewer — a Flask app that sends your Python code to Google's Gemini API and returns a rating, a written critique, and an improved version, plus the Jupyter notebook where the prompt and JSON-cleaning logic were prototyped.
A code walkthrough of azario0's open-source Image to PDF Converter — a Tkinter desktop app that uses Pillow for live page-accurate previews and ReportLab to compile ordered images into a single PDF.
A code walkthrough of azario0/url-health-checker, a desktop GUI app that checks whether a website is online, using Python, Tkinter/ttk, the requests library, and a threading + queue pattern to keep the UI responsive during network calls.
Explore how AutoScreenCapture utilizes Python, Tkinter, PyAutoGUI, and Pillow to create a responsive, automated desktop screen-capturing application.
A practical, step-by-step guide to running k2-fsa's OmniVoice for high-quality, zero-shot voice cloning directly in a free Kaggle notebook.
A practical tutorial on API design that survives contact with production: resource modeling, status codes, versioning, pagination, error shapes, and idempotency.
