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2. Microsoft Copilot - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Copilot

   Copilot can be used to rewrite and generate text based on user prompts in Microsoft 365 services, including Microsoft Word, Microsoft Excel, and PowerPoint. [ 51 ] [ 93 ] According to Jared Spataro, the head of Microsoft 365, Copilot for Microsoft 365 uses Microsoft Graph , an API , to evaluate context and available Microsoft 365 user data ...

3. List of spreadsheet software - Wikipedia

   en.wikipedia.org/wiki/List_of_spreadsheet_software

   Sourcetable [9] – AI spreadsheet that generates formulas, charts, SQL, and analyzes data. ThinkFree Online Calc – as part of the ThinkFree Office online office suite, using Java; Quadratic - A source available online spreadsheet for technical users, supporting Python, SQL, and Formulas.

4. Generative artificial intelligence - Wikipedia

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

   Music and artificial intelligence – Usage of artificial intelligence to generate music; Generative AI pornography – Explicit material produced by generative AI; Procedural generation – Method in which data is created algorithmically as opposed to manually; Retrieval-augmented generation – Type of information retrieval using LLMs

5. OpenAI launches free AI training course for teachers - AOL

   www.aol.com/news/openai-launches-free-ai...

   OpenAI and non-profit partner Common Sense Media have launched a free training course for teachers aimed at demystifying artificial intelligence and prompt engineering, the organizations said on ...

6. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

7. Generative adversarial network - Wikipedia

   en.wikipedia.org/wiki/Generative_adversarial_network

   The generator is decomposed into a pyramid of generators =, with the lowest one generating the image () at the lowest resolution, then the generated image is scaled up to (()), and fed to the next level to generate an image (+ (())) at a higher resolution, and so on. The discriminator is decomposed into a pyramid as well.