Edition 1.five launched optional cross-reference streams, that have the shape of a normal stream object, potentially with filters used. Such a stream could be utilized as opposed to the ASCII cross-reference desk and is made up of the offsets and various information and facts in binary format. The structure is flexible in that it allows for integer width specification (utilizing the /W array), in order that one example is, a document not exceeding 64 KiB in measurement could dedicate only two bytes for object offsets.
In 2017, researchers at Google launched the transformer architecture, which has been utilized to establish big language designs, like the ones that electric power ChatGPT. In natural language processing, a transformer encodes Each and every phrase within a corpus of text being a token and after that generates an awareness map, which captures Each individual token’s relationships with all other tokens. This notice map will help the transformer fully grasp context when it generates new textual content.
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