The goal isn't just to train a model; it's to build a system that understands your specific data as well as you do.
We just posted a massive, 12-hour course on the freeCodeCamp.org YouTube channel designed to turn you from an AI consumer into an LLM architect.
While massive models like Llama 3, Gemini, and GPT-4 are impressive out of the box, their true power is unlocked when they are tailored to specific domains. This course is a deep dive into the modern LLM ecosystem, teaching you how to take these giants and make them work for your specific needs.
The course is structured into four major sections:
The Foundations of PEFT: Learn why full fine-tuning is often overkill. You will learn about Parameter-Efficient Fine-Tuning (PEFT), and master techniques like LoRA and QLoRA to train models on consumer hardware.
Advanced Alignment: You’ll learn about Reinforcement Learning from Human Feedback (RLHF) and the increasingly popular Direct Preference Optimization (DPO) to align models with human intent.
High-Performance Tooling: Get hands-on with the fastest tools in the industry. The course covers Unsloth (for 2x faster training), Axolotl, and the Llama Factory project for streamlined workflows.
Enterprise & Multimodal AI: Beyond text, the course explores Vision Transformers (ViT), multimodal architectures (Image, Video, Audio), and how to leverage enterprise APIs from OpenAI and Google Cloud Vertex AI.
Watch the full course on the freeCodeCamp.org YouTube channel (12-hour watch).