> For the complete documentation index, see [llms.txt](https://4bcplaybook.clearglobal.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://4bcplaybook.clearglobal.org/6.-language-technology-implementation/6.4-assessing-data-and-model-maturity.md). # 6.4 Assessing data and model maturity Before you start creating or using a language technology solution, it's important to check how good the NLP components you're using are. This includes the pre-trained models or the data you use to train them. This initial check helps ensure that your solution is strong and works well in real situations. Whether you're working on machine translation (MT), automatic speech recognition (ASR), or using large language models (LLMs) for natural language generation, it's crucial to evaluate how good your data and models are before getting started. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://4bcplaybook.clearglobal.org/6.-language-technology-implementation/6.4-assessing-data-and-model-maturity.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.