There are primarily 4 stages of building LLMs from scratch:- Pre-training- Instruction fine-tuning- Preference fine-tuning- Reasoning fine-tuningLet's understand each of them!0️⃣ Randomly initialized LLMAt this point, the model knows nothing.You ask it “What is an LLM?” and get gibberish like “try peter hand and hello 448Sn”.It hasn’t seen any data yet and possesses just random weights.1️⃣ Pre-trainingThis stage teaches the LLM the basics of language by training it on massive corpora to predict the next tok ...

LLM Training Stages - LLM 从零开始训练的四个阶段包括：预训练、指令微调、偏好微调和推理微调 [1] Training Process - 报告解释了从零开始训练 LLM 的四个阶段，并附有可视化说明 [1]

LLM Development Stages - The document outlines four stages for building Large Language Models (LLMs) from scratch for real-world applications [1] - These stages include pre-training, instruction fine-tuning, preference fine-tuning, and reasoning fine-tuning [1] Techniques Overview - The document indicates that these techniques are visually summarized [1]