# Fine-tuning Fine-tuning is a key milestone in the evolution and optimization of artificial intelligence models. This process lets you sharpen the capabilities of a pre-trained model, adapting it to specific tasks or particular domains. Fine-tuning opens new possibilities for customizing and improving the performance of conversational AIs, making them more accurate, relevant, and aligned with the specific needs of each project. In this chapter, we'll explore: * **The concept of fine-tuning and its benefits**; * **How to fine-tune** easily with AIsuru; * **How to use fine-tuned models** on AIsuru. 🚀 Let's get started! --- # 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.aisuru.com/en/advanced-features/fine-tuning.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.