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  2. A new web crawler launched by Meta last month is quietly ...

    https://www.aol.com/finance/crawler-launched-meta-last...

    Some AI companies like OpenAI and Perplexity have struck deals in recent months that pay content providers for access to their data (Fortune was among several news providers that announced a ...

  3. Cross-entropy - Wikipedia

    https://en.wikipedia.org/wiki/Cross-entropy

    In information theory, the cross-entropy between two probability distributions and , over the same underlying set of events, measures the average number of bits needed to identify an event drawn from the set when the coding scheme used for the set is optimized for an estimated probability distribution , rather than the true distribution .

  4. Wikipedia talk:Large language models/Archive 2 - Wikipedia

    https://en.wikipedia.org/wiki/Wikipedia_talk:Large...

    WP:DENY; The following discussion has been closed. Please do not modify it. @Rsjaffe, The Transhumanist, and JPxG: Any thoughts on editing sources feature on Perplexity AI? ? Currently, adding sources is limited since it doesn't have a capability to provide typing in any URL you want in adding "sources", which could argue it is a double-edged sword (the ability to craft even more accurate ...

  5. Laurent Schwarz (artist) - Wikipedia

    https://en.wikipedia.org/wiki/Laurent_Schwarz_(artist)

    Laurent Schwarz (born 2021–2022?) is a child artist from Bavaria, Germany, who in 2024 gained international attention for his abstract paintings, which have been sold for thousands of Euros.

  6. Language model - Wikipedia

    https://en.wikipedia.org/wiki/Language_model

    A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.

  7. Retrieval-augmented generation - Wikipedia

    https://en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval augmented generation (RAG) is a type of generative artificial intelligence that has information retrieval capabilities. 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 in preference to information drawn from its own vast, static training data.

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  9. Misinformation - Wikipedia

    https://en.wikipedia.org/wiki/Misinformation

    There are currently some somewhat reliable ways to identify AI-generated imagery, [69] [70] but it is likely that this will become more difficult to identify as the technology advances. [ 71 ] [ 72 ] A person's formal education level and media literacy do correlate with their ability to recognize misinformation.

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