AI012

Deep Dive into Large Language Models

Mainstream LLM Case Studies and Deployment Strategies

Lesson

Lesson 2

Instructor

AI Tutor

Date

2026-03-10

Learning Objectives

Analyze the structural differences between Encoder-only (BERT), Decoder-only (GPT), and Encoder-Decoder (T5) architectures.
Explain the three-stage training process: Pre-training (Base model), Instruction Tuning (SFT), and Alignment (RLHF/PPO).
Compare the performance, scaling laws, and architectural innovations of mainstream LLMs including GPT, Llama, Qwen, and DeepSeek.