# Fine-tune a Model Fine-tuning trains a model to be a specialist at your specific task. The result is a new model with updated weights based on your [training examples](https://docs.entrypointai.com/key-concepts/examples). Typically, fine-tuning a model yields better results than prompting alone. Entry Point AI makes it easy to test different combinations of models, templates, and hyperparameters to see what works best. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.entrypointai.com/guides/fine-tune-a-model.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.