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  2. Document AI - Wikipedia

    en.wikipedia.org/wiki/Document_ai

    Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    AI has potential benefits and potential risks. [203] AI may be able to advance science and find solutions for serious problems: Demis Hassabis of DeepMind hopes to "solve intelligence, and then use that to solve everything else". [204] However, as the use of AI has become widespread, several unintended consequences and risks have been ...

  4. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-augmented generation (RAG) is a technique that enables generative artificial intelligence (Gen AI) models to retrieve and incorporate new information. [1] It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to supplement information from its pre-existing training ...

  5. How tech companies like Meta and Google are increasingly ...

    www.aol.com/tech-companies-meta-google...

    TikTok begins labeling AI-generated content. Google is now baking "AI Overviews" into some search results pages, providing AI-generated summaries and "key links" at the top of the page.

  6. How Workday’s CFO is using AI to ‘take a lot of ... - AOL

    www.aol.com/finance/workday-cfo-using-ai-lot...

    In using AL and ML technology, “on the financial side, you can be looking at variance analysis, you can take a lot of the mundane tasks out of the everyday work week,” Rowe says. What CFOs are ...

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Features might include the position in the document (i.e., the first few sentences are probably important), the number of words in the sentence, etc. The main difficulty in supervised extractive summarization is that the known summaries must be manually created by extracting sentences so the sentences in an original training document can be ...

  8. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    AI in architecture has created a way for architects to create things beyond human understanding. AI implementation of machine learning text-to-render technologies, like DALL-E and stable Diffusion, gives power to visualization complex. [380] AI allows designers to demonstrate their creativity and even invent new ideas while designing.

  9. Artificial intelligence in education - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    An educator might learn to use these AI systems as tools and generate code, [3] text or rich media or optimize their digital content production. [4] Or a governmental body might see AI as an ideological project to normalize centralized power and decision making, [5] while public schools and higher education contend with increasing privatization ...

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