> For the complete documentation index, see [llms.txt](https://docs.singularityfinance.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.singularityfinance.ai/market-opportunity/tokenise-monetise-and-decentralise-the-ai-economy/foundation-models-and-knowledge-graphs.md).

# Foundation Models and Knowledge Graphs

Foundation models are large-scale, pre-trained AI models, trained on a large set of data, that can be fine-tuned for specific tasks. They significantly reduce development time and resources by providing a robust general-purpose model for building applications. OpenAI's GPT-4, Google's Gemini, Facebook's Llama, etc., are a few examples of Web2 LLM models. However, these models are not only trained on text but also extend to audio and images, providing an opportunity to build a truly multimodal application. In the Web3 space, SingularityNET is at the forefront of building foundation models, with[ OpenCog Hyperon](https://hyperon.opencog.org/) being a leading example of a fully decentralised AI framework being developed within the blockchain space.

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