Category: Content

  • Human Friendly Content is AI Friendly Content

    Human Friendly Content is AI Friendly Content

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    by

    Dan Petrovic
    in ,

    What do humans and AI have in common? We don’t read. Instead we rely on attention mechanisms to process text information. When optimising content for AI and humans you must get to the point early and optimise content to reduce cognitive load. Striking parallels in attention and information processing Transformers use attention mechanisms mathematically equivalent to…

  • Content Substance Classification

    Content Substance Classification

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    by

    Dan Petrovic
    in , ,

    Demo: https://dejan.ai/tools/substance/ Preface In 1951, Isaac Asimov proposed an NLP method called Symbolic Logic Analysis (SLA) where text is reduced to its essential logical components. This method involves breaking down sentences into symbolic forms, allowing for a precise examination of salience and semantics analogous to contemporary transformer-based NER (named entity recognition) and summarisation techniques. In…

  • AI Content Detection

    AI Content Detection

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    by

    Dan Petrovic
    in , ,

    As models advance, AI content detection tools are struggling to keep up. Text generated by the latest Gemini, GPT and Claude models is fooling even the best of them. We’ve decided to bring AI content detection back in-house in order to keep up. Each time a new model comes out the classifier needs a fine-tune…