> For the complete documentation index, see [llms.txt](https://snet-ambassadors.gitbook.io/singularitynet-archive/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://snet-ambassadors.gitbook.io/singularitynet-archive/development/llm-development.md). # LLM Development {% hint style="info" %} This page is currently in draft {% endhint %} Large Language Models (LLM) are familiar from notable implementations of generative AI such as Open AI's Chat GDP. LLMs need to be fine tuned to provide more specfic contextual responses. This is typically done with Prompts. SinguarityNet's Ambassador programme is made up of workgroups. Since 2022 the Archive Workgroup has been gathering record keeping data on the activities of workgroups in the Ambassador program. The Archive workgroup aims to use generative models for - * **Self-taught learning (didactic learning) materials** - to promote learning by doing in the Archive Workgroup * **Data Analysis** - to supplement knowledge management and data mining of the intellectual property of the Ambassdor Program. * **Enhanced Record keeping** - supporting decentralised governance through enhanced analytic data on decision-making * **Augmentation** - that applies a local context and enforces ethical standards. --- # 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://snet-ambassadors.gitbook.io/singularitynet-archive/development/llm-development.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.