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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).
Besides the terms listed here, there are numerous terms used in the context of specific, individual RPGs such as Dungeons & Dragons (D&D), Pathfinder, Fate, and Vampire: The Masquerade. For a list of RPGs, see List of role-playing games.
It does this by adding the maximum reward attainable from future states to the reward for achieving its current state, effectively influencing the current action by the potential future reward. This potential reward is a weighted sum of expected values of the rewards of all future steps starting from the current state.
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.
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 ...
Steve Huffman, Reddit's CEO. On April 18, 2023, Reddit announced it would charge for its API service amid a potential initial public offering. [6] Speaking to The New York Times ' Mike Isaac, Reddit CEO Steve Huffman said, "The Reddit corpus of data is really valuable, but we don't need to give all of that value to some of the largest companies in the world for free".
Reactive solutions retrain the model in reaction to a triggering mechanism, such as a change-detection test, [9] [10] to explicitly detect concept drift as a change in the statistics of the data-generating process. When concept drift is detected, the current model is no longer up-to-date and must be replaced by a new one to restore prediction ...