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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. Adobe Creative Cloud - Wikipedia

    en.wikipedia.org/wiki/Adobe_Creative_Cloud

    Adobe Creative Cloud is a set of applications and services from Adobe that gives subscribers access to a collection of software used for graphic design, video editing, web development, photography, along with a set of mobile applications and also some optional cloud services. In Creative Cloud, a monthly or annual subscription service is ...

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    The ReAct pattern, a portmanteau of "Reason + Act", constructs an agent out of an LLM, using the LLM as a planner. The LLM is prompted to "think out loud". The LLM is prompted to "think out loud". Specifically, the language model is prompted with a textual description of the environment, a goal, a list of possible actions, and a record of the ...

  6. CapCut - Wikipedia

    en.wikipedia.org/wiki/CapCut

    The app includes a library of pre-made templates and a tool that generates editable video captions. Users can export or save completed projects directly to different social media platforms. CapCut includes a free version and a paid Pro version with cloud storage and advanced features. [2]

  7. Chinchilla (language model) - Wikipedia

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

    It is named "chinchilla" because it is a further development over a previous model family named Gopher.Both model families were trained in order to investigate the scaling laws of large language models.

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