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Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using Theano as backend Can use Theano, Tensorflow or PlaidML as backends Yes No Yes Yes [20] Yes Yes No [21] Yes [22] Yes MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary ...
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
The XML dialect called AIML was developed by Richard Wallace and a worldwide free software community between 1995 [citation needed] and 2002. AIML formed the basis for what was initially a highly extended Eliza called "A.L.I.C.E." ("Artificial Linguistic Internet Computer Entity"), which won the annual Loebner Prize Competition in Artificial Intelligence [3] three times, and was also the ...
Windows, Linux, macOS Commercial Java Capella: Thales Group & Eclipse Foundation community Windows, Linux, macOS 2015-04-06 [3] 2020-11-17 (v5.0) [4] Yes EPL: Java [5] ConceptDraw PRO: CS Odessa Windows, macOS 1993 2017-11-07 (v11) [6] No Commercial Unknown Enterprise Architect: Sparx Systems: Windows (supports Linux and macOS installation) 2000
This article may require cleanup to meet Wikipedia's quality standards.The specific problem is: Active distributions composed entirely of free software (Dragora GNU/Linux-Libre, gNewSense, Guix System, LibreCMC, Musix GNU+Linux, Parabola GNU/Linux-libre, and Trisquel) need information in all sub categories, #General is complete.
A prompt for a text-to-text language model can be a query, a command, or a longer statement including context, instructions, and conversation history. Prompt engineering may involve phrasing a query, specifying a style, choice of words and grammar, [ 3 ] providing relevant context, or describing a character for the AI to mimic.
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The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]