The goal is not just to train a model. It’s about building a system that understands your specific data as well as you do.
We just posted a massive, 12-hour course. freeCodeCamp.org The YouTube channel is designed to transform you from an AI user to an LLM architect.
While larger models like Llama 3, Gemini, and GPT-4 are impressive out of the box, their true power is unleashed 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 divided into four major sections:
PEFT Basics: Learn Why Complete Fine-Tuning Is Often Overdone You will learn about Parameter-Efficient Fine-Tuning (PEFT), and master techniques like LoRA and QLoRA for training 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 a streamlined workflow.
Enterprise and Multimodal AI: Beyond the 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.
Check out the full course freeCodeCamp.org YouTube Channel (12 hour clock).