Part 4/12:
The evolution of AI, and more specifically large language models (LLMs), is complex and consists of multiple phases including pre-training, supervised fine-tuning (SFT), and reinforcement learning with human feedback (RLHF). Pre-training serves as the foundation, leveraging vast data sets to produce a base model capable of generating coherent text. This model is then honed through instruction-tuning, enhancing its ability to provide user-appropriate responses.