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  2. These 55 Printable Pumpkin Stencils Make Carving Easier ... - AOL

    www.aol.com/55-printable-pumpkin-stencils...

    This Halloween 2024, use these printable pumpkin stencils and free, easy carving patterns for the scariest, silliest, most unique, and cutest jack-o’-lanterns.

  3. Rag doll - Wikipedia

    en.wikipedia.org/wiki/Rag_doll

    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.

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    The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

  5. Rag-and-bone man - Wikipedia

    en.wikipedia.org/wiki/Rag-and-bone_man

    A rag-and-bone man with his horse and cart on the streets of Streatham, southwest London in 1985 A rag-and-bone man in Croydon, London, May 2011 A 1954 report in The Manchester Guardian mentioned that some men could make as much as £25 (roughly equivalent to £865 now) per day collecting rags.

  6. Raggedy Ann - Wikipedia

    en.wikipedia.org/wiki/Raggedy_Ann

    Raggedy Ann is a character created by American writer Johnny Gruelle (1880–1938) that appeared in a series of books he wrote and illustrated for young children. Raggedy Ann is a rag doll with red yarn for hair and a triangle nose.

  7. Durag - Wikipedia

    en.wikipedia.org/wiki/Durag

    The simplest etymology for do-rag is that it is named as such because it is a rag worn to protect one's hairdo. However, one writer in The New York Times claims that the correct spelling of the word is durag. [3] An alternative etymology claims that name should be spelled dew-rag, and dew is a euphemism for sweat. [4]

  8. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    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.

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