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  2. Document AI - Wikipedia

    en.wikipedia.org/wiki/Document_ai

    Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.

  3. Regulation of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_artificial...

    The Pan-Canadian Artificial Intelligence Strategy (2017) is supported by federal funding of Can $125 million with the objectives of increasing the number of outstanding AI researchers and skilled graduates in Canada, establishing nodes of scientific excellence at the three major AI centres, developing 'global thought leadership' on the economic ...

  4. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

  5. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    The initial phase uses dense embeddings to retrieve documents. This retrieval can be based on a variety of database formats depending on the use case, such as a vector database, summary index, tree index, or keyword table index. [33] In response to a query, a document retriever selects the most relevant documents.

  6. Artificial intelligence and copyright - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    The Board finds that the Work contains more than a de minimis amount of content generated by artificial intelligence ("AI"), and this content must therefore be disclaimed in an application for registration. Because Mr. Allen is unwilling to disclaim the AI-generated material, the Work cannot be registered as submitted. [9]

  7. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Recent effort on adaptive information extraction motivates the development of IE systems that can handle different types of text, from well-structured to almost free text -where common wrappers fail- including mixed types. Such systems can exploit shallow natural language knowledge and thus can be also applied to less structured texts.

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