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A rag doll is a doll made from scraps of fabric. They are one of the oldest children's toys in existence. They are one of the oldest children's toys in existence. Today, many rag dolls are commercially produced to mimic aspects of the original home-made dolls, such as simple features, soft cloth bodies, and patchwork clothing.
By the mid-1960s the rag-and-bone trade as a whole had fallen into decline; in the 1950s, Manchester and Salford had, between them, around 60 rag merchants, but this had dropped to about 12 by 1978, many having moved into the scrap-metal trade. Local merchants blamed several factors, including demographic changes, for the decline of their industry.
Many terms are used to refer to people who salvage recyclables from the waste stream for sale or personal consumption. In English, these terms include rag picker, reclaimer, informal resource recoverer, binner, recycler, poacher, salvager, scavenger, and waste picker; in Spanish cartonero, chatarrero, pepenador, clasificador, minador and reciclador; and in Portuguese catador de materiais ...
Drawing up a comprehensive list of words in English is important as a reference when learning a language as it will show the equivalent words you need to learn in the other language to achieve fluency.
Color sorters or color sorters (sometimes called optical sorters, digital sorters, or electronic color sorters) are machines used on production lines in bulk food processing and other industries. They sort items by color, detecting passing items' colors and using mechanical or pneumatic devices to divert items with colors outside the acceptable ...
Ragtime, also spelled rag-time or rag time, [2] is a musical style that had its peak from the 1890s to 1910s. [1] Its cardinal trait is its syncopated or "ragged" rhythm . [ 1 ] Ragtime was popularized during the early 20th century by composers such as Scott Joplin , James Scott , and Joseph Lamb .
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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.