Domain Adaptation for Specialized Large Language Models
Lecture
Lesson 6
Date
2026-04-21
Teacher
AI Tutor
Duration
60 Mins
Learning Objectives
1. Analyze the performance limitations of general-purpose LLMs in niche verticals; 2. Implement continual pre-training and supervised fine-tuning (SFT) for domain alignment; 3. Master parameter-efficient fine-tuning (PEFT) using LoRA and QLoRA; 4. Design robust evaluation frameworks for specialized linguistic accuracy.