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There exists a few papers that systematically compare various model checkers on a common case study. The comparison usually discusses the modelling tradeoffs faced when using the input languages of each model checker, as well as the comparison of performances of the tools when verifying correctness properties. One can mention:
AI Dungeon is a text adventure game that uses artificial intelligence to generate random storylines in response to player-submitted stimuli. [1] [2] [3] [4]In the game, players are prompted to choose a setting for their adventure (e.g. fantasy, mystery, apocalyptic, cyberpunk, zombies), [5] [6] followed by other options relevant to the setting (such as character class for fantasy settings).
In many games, specialized terms are used, as such Dungeon Master for the person running Dungeons & Dragons, [24] Storyteller for the person running a game set in the World of Darkness or Referee for the person running Traveller. Gamemaster's screen: a folding screen, often of cardboard, used to hide adventure content from the players. [25] [26 ...
Enshittification, also known as crapification and platform decay, is the term used to describe the pattern in which online products and services decline in quality over time. Initially, vendors create high-quality offerings to attract users, then they degrade those offerings to better serve business customers, and finally degrade their services ...
A module in Dungeons & Dragons is an adventure published by TSR.The term is usually applied to adventures published for all Dungeons & Dragons games before 3rd Edition. For 3rd Edition and beyond new publisher Wizards of the Coast uses the term adventure.
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
Dungeons & Dragons, starting with AD&D 1st Edition and continuing to the current 5th Edition, has many skills that characters may train in. [29] [30] [5] In 1st and 2nd editions, these were broken down into "weapon proficiencies" and "non-weapon proficiencies". [31] [32] In 3rd Edition they are all simply referred to as "skills".
Model collapse in generative models is reduced when data accumulates. Some researchers and commentators on model collapse warn that the phenomenon could fundamentally threaten future generative AI development: As AI-generated data is shared on the Internet, it will inevitably end up in future training datasets, which are often crawled from the Internet.