# Finetuning Examples In these examples, we demonstrate how to use synthetically generated data to finetune small LLMs and get better performance than SOTA big LLMs. * [Aspect based sentiment analysis](/bespoke-curator/finetuning-examples/aspect-based-sentiment-analysis.md) * [Finetuning a model to identify features of a product](/bespoke-curator/finetuning-examples/finetuning-a-model-to-identify-features-of-a-product.md) --- # 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.bespokelabs.ai/bespoke-curator/finetuning-examples.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.