🔢 Stages of LLM Training Training a Large Language Model isn’t a single step—it’s a journey through multiple stages that shape how it understands, follows, and reasons. Here’s the progression: Stage 0 → A randomly initialized model, just noise with potential. Stage 1 → Pre-Training, where it absorbs patterns from massive text data. Stage 2 → Instruction Fine-Tuning, aligning it to follow human-written instructions. Stage 3 → Preference Fine-Tuning, refining it to generate responses people actually prefer. Stage 4 → Reasoning Fine-Tuning, pushing it to think more logically and solve complex problems. From raw parameters to advanced reasoning, each stage transforms the model into something smarter, more helpful, and more aligned with human goals.
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