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The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.
Frames originated in AI research and objects primarily in software engineering. However, in practice the techniques and capabilities of frame and object-oriented languages overlap significantly. frame problem The problem of finding adequate collections of axioms for a viable description of a robot environment. [185] friendly artificial intelligence
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
Check format details in the project's worksheet. Dialog/Instruction prompted 2020 [340] Michihiro et al. Natural Instructions v2 Large dataset that covers a wider range of reasoning abilities Each task consists of input/output, and a task definition. Additionally, each ask contains a task definition.
Reference Organizer [1] – is a tool that presents all references in graphical user interface, where you can choose whether the references should be defined in the body of article or in the reference list template(s) (list-defined format). The choice can be applied to all references, to all references with a certain number of uses (citations ...
LivePlan Assistant is the company’s AI writing tool that can help you create a business plan. With this option, you can select one of LivePlan’s business plan templates and get help filling in ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
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