Learn how to fine-tune LLMs in 12 hours

FreeCodeCamp released a comprehensive 12-hour course on YouTube teaching developers how to fine-tune large language models like Llama 3, Gemini, and GPT-4 for specific domains and needs. The course covers four main areas: Parameter-Efficient Fine-Tuning techniques like LoRA and QLoRA for training on consumer hardware, advanced alignment methods including reinforcement learning from human feedback, high-performance tools like Unsloth for faster training, and enterprise-level multimodal AI applications spanning vision, video, and audio processing.