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  2. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  3. Entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Entity–relationship_model

    An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types).

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    [109] [110] In another example, a small Transformer is trained on Karel programs. Similar to the Othello-GPT example, there is a linear representation of Karel program semantics, and modifying the representation changes output in the correct way. The model also generates correct programs that are on average shorter than those in the training ...

  5. ER diagram - Wikipedia

    en.wikipedia.org/?title=ER_diagram&redirect=no

    This page was last edited on 23 May 2012, at 03:06 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply ...

  6. Ran (protein) - Wikipedia

    en.wikipedia.org/wiki/Ran_(protein)

    Ran (RAs-related Nuclear protein) also known as GTP-binding nuclear protein Ran is a protein that in humans is encoded by the RAN gene.Ran is a small 25 kDa protein that is involved in transport into and out of the cell nucleus during interphase and also involved in mitosis.

  7. Enhanced entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Enhanced_entity...

    The enhanced entity–relationship (EER) model (or extended entity–relationship model) in computer science is a high-level or conceptual data model incorporating extensions to the original entity–relationship (ER) model, used in the design of databases.

  8. Biological network - Wikipedia

    en.wikipedia.org/wiki/Biological_network

    A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. [1] In general, networks or graphs are used to capture relationships between entities or objects. [1]

  9. Unfolded protein response - Wikipedia

    en.wikipedia.org/wiki/Unfolded_protein_response

    The unfolded protein response (UPR) is a cellular stress response related to the endoplasmic reticulum (ER) stress. [1] It has been found to be conserved between mammalian species, [2] as well as yeast [1] [3] and worm organisms. The UPR is activated in response to an accumulation of unfolded or misfolded proteins in the lumen of the