Fine-tuning lets you take a large language model and train it for your own specific needs. You can use methods like LoRA or QLoRA to adapt the model without needing huge amounts of computer memory. This skill helps you prepare data, set up training, check results, and deploy the final model.
Whether you are building a chatbot, a code helper, or a custom assistant, fine-tuning makes the model better at your tasks. The process includes choosing the right technique, tuning settings like learning rate, and testing performance. It is designed for anyone who wants to get the most out of an AI model.
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