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  2. BLOOM (language model) - Wikipedia

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

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]

  3. Adobe Premiere Pro - Wikipedia

    en.wikipedia.org/wiki/Adobe_Premiere_Pro

    Adobe Premiere Pro is a timeline-based non-linear video editing software developed by Adobe Inc., distributed as part of the Adobe Creative Cloud suite. Primarily aimed at professional video editing, the program also provides an advanced set of tools for creating special effects and visual effects .

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Concretely, one can construct an LLM that can understand images as follows: take a trained LLM, and take a trained image encoder . Make a small multilayered perceptron f {\displaystyle f} , so that for any image y {\displaystyle y} , the post-processed vector f ( E ( y ) ) {\displaystyle f(E(y))} has the same dimensions as an encoded token.

  5. Wikipedia:Large language models and copyright - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Large_language...

    Apart from the a possibility that saving an LLM output may cause verbatim non-free content to be carried over to the article, these models can produce derivative works. For example, an LLM can rephrase a copyrighted text using fewer, the same, or more words than the original – editors should mind the distinction between a summary and an ...

  6. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.

  7. Vicuna LLM - Wikipedia

    en.wikipedia.org/wiki/Vicuna_LLM

    Vicuna LLM is an omnibus Large Language Model used in AI research. [1] Its methodology is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science ) and to vote on their output; a question-and-answer chat format is used.

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