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Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [73] Google Photos, [74] and the Adobe Suite (Adobe Firefly). [75] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [76] language model.
Generative design, one of the four key methods for lightweight design in AM, is commonly applied to optimize structures for specific performance requirements. [25] Generative design can help create optimized solutions that balance multiple objectives, such as enhancing performance while minimizing cost. [26]
Concretely, the conditional GAN game is just the GAN game with class labels provided: (,):=, [ (,)] +, [ ((,))] where is a probability distribution over classes, () is the probability distribution of real images of class , and () the probability distribution of images generated by the generator when given class label .
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
These classes are independent of a specific modeling architecture such as Transformer, but they are often discussed in the context of Transformer. In a masked task, [ 49 ] one or more of the tokens is masked out, and the model would produce a probability distribution predicting what the masked-out tokens are based on the context.
In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure. [ 1 ]
Object-oriented design (OOD) is the process of planning a system of interacting objects to solve a software problem. It is a method for software design. By defining classes and their functionality for their children (instantiated objects), each object can run the same implementation of the class with its state.
Multiple choice questions lend themselves to the development of objective assessment items, but without author training, questions can be subjective in nature. Because this style of test does not require a teacher to interpret answers, test-takers are graded purely on their selections, creating a lower likelihood of teacher bias in the results. [8]