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Fine-Tuning & Customization — The Complete AI Engineer Roadmap
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Phase 3 – Agentic AI SystemsFoundations: Transformers & LLMs

Fine-Tuning & Customization

3.1 · Foundations: Transformers & LLMs

What You'll Learn

0 / 6 Completed
Prompt engineering vs fine-tuning
Full fine-tuning
Parameter-efficient methods (LoRA, QLoRA, adapters)
Instruction / supervised fine-tuning (SFT)
Retrieval-Augmented Generation (RAG)
Domain adaptation & evaluation
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