FUZ is a powerful language model developed by NCIT Solutions. It is trained on a great dataset of text, allowing it to create human-like responses to a wide range of prompts.
Embodiments comprise a plurality of engines configured to interface to each other to provide a comprehensive analysis and computerized “understanding” of digital content. Embodiments can output confident (i.e. provable results for particular elements) such as answers to specific questions or the identification of differences between related documents. Embodiments are further configured to further provide a timeline of time-based relation or entity search to identify particular events that occurred within the scope of a particular element or its relations. Systems allow the ability to identify or understand the context of elements in relation to a uniform time and date.