Topic 05 · 5 articles
Fine-Tuning Models
Learn when and how to adapt a model with examples, efficient training methods, and open models.
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Fine-Tuning vs. RAG
Choose between changing model behavior and supplying external knowledge at runtime.
18 min read →Supervised Fine-Tuning (SFT)
Understand how labeled input-output examples teach a model a target behavior.
18 min read →Parameter-Efficient Fine-Tuning (PEFT)
Learn how adapters make model adaptation cheaper and more practical.
18 min read →Preparing Datasets
Build clean, representative examples that make fine-tuning more likely to work.
18 min read →Fine-Tuning Open Models
Plan the hardware, licensing, training, and serving choices for adapting an open model.
18 min read →