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Model Driven Integrated Development (Edit/Build/Debug) for Java, .Net, PHP & GNU compilers. Simulates Activity, State Machine, Sequence and BPMN diagrams. Gliffy: Yes Unknown Unknown Yes No No Google apps, Google drive, JIRA, Confluence Has libraries of shapes for: UML class, sequence, activity, use case and more. JetUML: Yes Unknown Un ...
A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.
A sample UML class and sequence diagram for the Strategy design pattern. [4]In the above UML class diagram, the Context class does not implement an algorithm directly. . Instead, Context refers to the Strategy interface for performing an algorithm (strategy.algorithm()), which makes Context independent of how an algorithm is impl
This diagram depicts the processes and objects involved and the sequence of messages exchanged as needed to carry out the functionality. Sequence diagrams are typically associated with use case realizations in the 4+1 architectural view model of the system under development. Sequence diagrams are sometimes called event diagrams or event scenarios.
An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which not only probabilistic inference problems but also decision making problems (following the maximum expected ...
Recurrent neural networks (RNNs) are a class of artificial neural networks for sequential data processing. Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series.
Behavior trees accurately capture behavior expressed in the natural language representation of functional requirements. Requirements behavior trees strictly use the vocabulary of the natural language requirements but employ graphical forms for behavior composition in order to eliminate risk of ambiguity.
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [ 1 ][ 2 ] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [ 3 ] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's ...
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