fine-tuning

RAG retrieves facts at query time. Fine-tuning bakes behavior into model weights. Use RAG for facts; fine-tune for style or narrow tasks.

Three ways to get an AI model to do a task: ask it (zero-shot), show examples (few-shot), or retrain it (fine-tuning). Each has different costs and trade-offs.

Fine-tuning explained for beginners. Learn how companies customize general AI models for specific tasks — and when fine-tuning is worth it.

Fine-tune an open LLM on your domain data with LoRA, QLoRA, or hosted services — without a $100K GPU cluster.

Fine-tune Llama, Mistral, or Qwen on your custom data using LoRA. Covers dataset prep, training on Runpod/Modal, and deployment via vLLM.