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  2. 13 Ways To Use AI To Become a Better Writer - AOL

    www.aol.com/13-ways-ai-become-better-144100048.html

    6. Explain complex topics in new ways. Generative AI can even help you better understand the topics you’re writing about, especially if the tool you’re using is connected to the internet.

  3. Opinion: AI-assisted writing is close to becoming as standard ...

    www.aol.com/news/opinion-ai-assisted-writing...

    Using AI to generate ideas, create an outline and provide specific instructions for writing each paragraph, Terry wasn’t using an AI assistant; he had become the assistant — and so will we.

  4. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  5. Free writing - Wikipedia

    en.wikipedia.org/wiki/Free_writing

    Personal free writing is the practice of writing what one is thinking without considering organization or grammatical errors. In a study done by Fred McKinney, free writing was defined as letting one’s thoughts and words flow onto paper without hesitation. [21] This can be done in the format of letters or even a personal notebook.

  6. Test automation - Wikipedia

    en.wikipedia.org/wiki/Test_automation

    Test automation can be made cost-effective in the long term, especially when used repeatedly in regression testing. A good candidate for test automation is a test case for common flow of an application, as it is required to be executed (regression testing) every time an enhancement is made in the application.

  7. Ablation (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Ablation_(artificial...

    An ablation study aims to determine the contribution of a component to an AI system by removing the component, and then analyzing the resultant performance of the system. [ 2 ] The term is an analogy with biology (removal of components of an organism), and is particularly used in the analysis of artificial neural networks by analogy with ...