A freeCodeCamp tutorial teaches how to build, pre-train, and fine-tune a 25-million parameter language model on a CPU, covering modern LLM architecture, pre-training from scratch, reinforcement learning post-training, and research methodology. The smaller-scale model enables rapid local iteration and experimentation without expensive cloud compute, using techniques like hybrid attention, Mixture of Experts, and multimodal inputs.