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  2. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa

  3. International Journal on Artificial Intelligence Tools

    en.wikipedia.org/wiki/International_Journal_on...

    This article relies excessively on references to primary sources. Please improve this article by adding secondary or tertiary sources . Find sources: "International Journal on Artificial Intelligence Tools" – news · newspapers · books · scholar · JSTOR ( January 2010 ) ( Learn how and when to remove this message )

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Nine features are given for each sample. 1030 Text Regression 2007 [233] [234] I. Yeh Concrete Slump Test Dataset Concrete slump flow given in terms of properties. Features of concrete given such as fly ash, water, etc. 103 Text Regression 2009 [235] [236] I. Yeh Musk Dataset Predict if a molecule, given the features, will be a musk or a non-musk.

  6. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    For example, the set cover problem is a special case of submodular optimization, since the set cover function is submodular. The set cover function attempts to find a subset of objects which cover a given set of concepts. For example, in document summarization, one would like the summary to cover all important and relevant concepts in the document.

  8. Help:Find sources - Wikipedia

    en.wikipedia.org/wiki/Help:Find_sources

    However, it is possible to use the open web to find many good sources to use in writing encyclopedia articles. Examples of such sources are news stories from newspapers with a reputation for accuracy, books which have previews on digital libraries, and academic papers which are available open access in open archives .

  9. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    An example, consider a group of newswire articles on Latin American terrorism with each article presumed to be based upon one or more terroristic acts. We also define for any given IE task a template, which is a(or a set of) case frame(s) to hold the information contained in a single document.

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