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  2. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    An exhaustive list of the variants released by Google Brain is on the GitHub repo for T5X. [8] Some models are trained from scratch while others are trained by starting with a previous trained model. By default, each model is trained from scratch, except otherwise noted. T5 small, base, large, 3B, 11B (2019): The original models. [1]

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  4. XLNet - Wikipedia

    en.wikipedia.org/wiki/XLNet

    The XLNet was an autoregressive Transformer designed as an improvement over BERT, with 340M parameters and trained on 33 billion words.It was released on 19 June, 2019, under the Apache 2.0 license. [1]

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [46] Note that this maximum refers to the number of input tokens and that the maximum number of output tokens differs from the input and is often smaller. For example, the GPT-4 Turbo model has a maximum output of 4096 tokens. [47]

  6. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.

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

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

    List of GitHub repositories of the project: Kubernetes SIGs This data is not pre-processed List of GitHub repositories of the project: Konveyor This data is not pre-processed List of GitHub repositories of the project: RedHat Marketplace This data is not pre-processed List of GitHub repositories of the project: Redhat blog This data is not pre ...

  8. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    BERT is meant as a general pretrained model for various applications in natural language processing. That is, after pre-training, BERT can be fine-tuned with fewer resources on smaller datasets to optimize its performance on specific tasks such as natural language inference and text classification , and sequence-to-sequence-based language ...

  9. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    GPT-3, specifically the Codex model, was the basis for GitHub Copilot, a code completion and generation software that can be used in various code editors and IDEs. [ 38 ] [ 39 ] GPT-3 is used in certain Microsoft products to translate conventional language into formal computer code.