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High-quality cotton fiber paper is known to last hundreds of years without appreciable fading, discoloration, or deterioration, [1] so it is often used for important documents, such as the archival copies of dissertations or theses. As a rule of thumb, for each percentage point of cotton fiber, a user may expect one year of resisting ...
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.
Wrapping papers for the protection of goods and merchandise. This includes wax and kraft papers. Writing paper suitable for stationery requirements. This includes ledger, bank, and bond paper. Blotting papers containing little or no size. Drawing papers usually with rough surfaces used by artists and designers, including cartridge paper.
[citation needed] A4 ("metric") paper is easier to obtain in the US than US letter can be had elsewhere. [citation needed]. The ISO 216:2007 is the current international standard for paper sizes, including writing papers and some types of printing papers. This standard describes the paper sizes under what the ISO calls the A, B, and C series ...
In the British Civil Service and other departments of the United Kingdom government, traffic light colours are used as a coding system for good or bad performance, usually known as a 'RAG rating'—Red, Amber, Green. For example, a red workload performance would mean inadequate, amber would mean reasonable, and green would mean good.
GraphRAG [35] (coined by Microsoft Research) is a technique that extends RAG with the use of a knowledge graph (usually, LLM-generated) to allow the model to connect disparate pieces of information, synthesize insights, and holistically understand summarized semantic concepts over large data collections. It was shown to be effective on datasets ...