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English: With the growth in AI generated art, many new AI/ML (Artificial Intelligence / Machine Learning) models have been implemented and connected to each other. This diagram shows the major AI/ML Datasets / Corpora, Classifier / Transformer Models, Generative Models, and End-User Applications as well as how they are related and their dependencies.
Vacuum World, a shortest path problem with a finite state space. In computer science, a state space is a discrete space representing the set of all possible configurations of a "system". [1] It is a useful abstraction for reasoning about the behavior of a given system and is widely used in the fields of artificial intelligence and game theory.
Arc diagrams were used by Brandes (1999) to visualize the state diagram of a shift register, by Djidjev & Vrt'o (2002) to show that the crossing number of every graph is lower-bounded by a combination of its cutwidth and vertex degrees, by Byrne et al. (2007) to visualize interactions between Bluetooth devices, and by Owens & Jankun-Kelly (2013 ...
The State of AI: 35 Statistics and Facts for 2024. Artificial intelligence (AI) is rapidly transforming businesses and economies in 2024. As technologies like generative AI surge in popularity and ...
If the diagram were of an elementary net, then those places in a configuration would be conventionally depicted as circles, where each circle encompasses a single dot called a token. In the given diagram of a Petri net (see right), the place circles may encompass more than one token to show the number of times a place appears in a configuration.
A state diagram for a door that can only be opened and closed. A state diagram is used in computer science and related fields to describe the behavior of systems. State diagrams require that the system is composed of a finite number of states. Sometimes, this is indeed the case, while at other times this is a reasonable abstraction.
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In March 2023, OpenAI asked the ARC to test GPT-4 to assess the model's ability to exhibit power-seeking behavior. [10] ARC evaluated GPT-4's ability to strategize, reproduce itself, gather resources, stay concealed within a server, and execute phishing operations. [11] As part of the test, GPT-4 was asked to solve a CAPTCHA puzzle. [12]