Tutorials
AI learning tutorials from beginner to advanced
Whisper Speech Recognition Tutorial
OpenAI's open-source speech recognition model, Whisper, trained on a large and diverse multilingual dataset. It can transcribe speech in roughly 99 languages and translate any language directly into English — all runnable locally without external services. Ideal for developers who need accurate, privacy-friendly speech-to-text, subtitle generation, or voice-search indexing.
Hands-on LLM Fine-Tuning
A practical, hands-on guide to fine-tuning large language models, covering parameter-efficient approaches like LoRA and QLoRA alongside traditional full fine-tuning. It walks through dataset preparation, hyperparameter tuning, and evaluation metrics with real code examples. Aimed at ML engineers who want to adapt base models to specific domains without the cost of training from scratch.
OpenAI Whisper Speech Recognition Guide
Official documentation for OpenAI Whisper, the open-source speech recognition model trained on diverse multilingual audio. It covers installation, model size selection, and transcription API usage, with support for roughly 99 languages and direct translation to English. Aimed at developers who need accurate, locally runnable speech-to-text for subtitling, meeting notes, or voice search indexing.
The Complete Midjourney Guide
A comprehensive guide to Midjourney V6, walking through the full image generation workflow from prompt structure to parameter usage like stylize, chaos, and quality. It covers advanced techniques such as image blending, style references, and the remix feature, with practical examples throughout. Ideal for intermediate creators who want to harness the latest model capabilities for consistent, high-quality results.
Stable Diffusion Beginner Tutorial
A beginner-friendly guide to Stable Diffusion, the open-source text-to-image model. It walks through environment setup, model selection, and core generation workflows, explaining key concepts like sampling steps, CFG scale, and seed control. With practical tips and common troubleshooting advice, it is a solid starting point for anyone curious about AI image generation but unsure where to begin.
Flux Image Generation Model Guide
FLUX is a family of open-source image generation models known for strong prompt adherence and high visual quality. This guide covers the different FLUX variants, prompting techniques for better results, and where to run them — locally on consumer GPUs or via hosted API services.
ComfyUI Workflow Guide
ComfyUI uses a node-based visual workflow system that gives you precise control over every step of image generation. This guide walks through building workflows from scratch, using reusable shareable graphs, and advanced techniques like inpainting and upscaling for production-quality results.
Suno AI Music Creation Guide
Suno is an AI music generation platform that creates complete songs with vocals and instruments from text prompts. This guide covers prompting techniques for genres, moods, and song structure, how to use custom lyrics, and practical tips for getting better vocal quality and mixes.
Cursor IDE Usage Guide
Cursor is an AI-native code editor built as a VS Code fork, offering deep codebase awareness with Composer for multi-file edits, context-aware chat, and smart autocomplete. This guide covers setup, key workflows, and tips for getting the most out of Cursor's polished AI editing experience.
Runway Video Generation Guide
Runway is a leading AI video generation platform offering text-to-video and image-to-video workflows with motion and camera controls. This guide covers practical techniques for creating high-quality clips, refining motion, and stitching short AI-generated segments into longer polished sequences.
fast.ai Practical Deep Learning Course
fast.ai offers a free, practical deep learning course that uses a top-down teaching approach — building working models first, then diving into theory. It covers computer vision, NLP, and tabular data, with hands-on notebooks that let developers start training real models from day one.
OpenAI Cookbook
The OpenAI Cookbook is the official collection of example code and practical guides for building with the OpenAI API. It covers real-world patterns from embeddings and RAG to function calling and fine-tuning, with runnable notebooks that developers can adapt directly into production applications.
Google Machine Learning Crash Course
Google's Machine Learning Crash Course is a free, hands-on introduction to machine learning featuring video lessons, interactive visualizations, and coding exercises with real datasets. It covers core concepts from linear regression to neural networks, making it an ideal starting point for developers new to ML.