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Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Artificial intelligence is used in astronomy to analyze increasing amounts of available data [159] [160] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...
A straw-man (or straw-dog or straw-person) proposal is a brainstormed simple draft proposal intended to generate discussion of its disadvantages and to spur the generation of new and better proposals. [1] The term is considered American business jargon, [2] but it is also encountered in engineering office culture.
CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns to help manage your office environment. [7]
Generated knowledge prompting [33] first prompts the model to generate relevant facts for completing the prompt, then proceed to complete the prompt. The completion quality is usually higher [citation needed], as the model can be conditioned on relevant facts. Example: [33] Generate some knowledge about the concepts in the input.
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