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  2. Teachers are using AI to grade essays. But some experts are ...

    www.aol.com/teachers-using-ai-grade-essays...

    teaching ChatGPT best practices in her writing workshop class at the University of Lynchburg in Virginia, said she sees the advantages for teachers using AI tools but takes issue with how it can ...

  3. Teachers, students test out AI in Colorado classrooms

    www.aol.com/teachers-students-test-ai-colorado...

    Generative AI analyzes huge amounts of data to generate text, images, videos, and other kinds of content. For the moment, many teachers and students are approaching AI more as a toe-dipping ...

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  5. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

  6. Canva cofounder: My AI predictions for 2025 - AOL

    www.aol.com/finance/canva-cofounder-7-ai...

    Tools like generative AI turn writing essays or solving complex problems into instantaneous productions. But this raises the question: What should schools teach when machines can do so much of the ...

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [33]

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