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The seated wooden statue of Dainichi Nyorai (木造大日如来坐像, mokuzō Dainichi Nyorai zazō) at the Shingon temple of Enjō-ji in Nara is the earliest and best-substantiated work by Japanese master sculptor Unkei. An inscription on the pedestal records that he began work on the piece in 1175 and brought it to completion the following year.
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As to the identity of the twin objects, the "cone" is generally recognised as a Turkish pine cone (Pinus brutia), common in Assyria.Other common identifications suggest the male inflorescence of the date palm (Phoenix dactylifera), or a clay imitation of one or the other. [2]
At first, two types of signs were established: "road warning signs" equivalent to warning signs and "road guide signs" as information signs. [9] Warning signs at that time closely resembled the British design as used in Hong Kong , the only difference was the white-on-black lettering.
Tech companies such as Meta, OpenAI and Nvidia have been sued by artists, writers, journalists, and software developers for using their work to train AI models. [ 101 ] [ 102 ] Early generative AI chatbots, such as the GPT-1, used the BookCorpus , and books are still the best source of training data for producing high-quality language models.
Ohara Koson, around the age of 53. Ohara Koson (also Ohara Hōson, Ohara Shōson) (Kanazawa 1877 – Tokyo 1945) was a Japanese painter and woodblock print designer of the late 19th and early 20th centuries, at the forefront of shinsaku-hanga and shin-hanga art movements.
Ryakuji are not covered in the Kanji Kentei, nor are they officially recognized (most ryakuji are not present in Unicode).However, some abbreviated forms of hyōgaiji (表外字, characters not included in the tōyō or jōyō kanji lists) included in the JIS standards which conform to the shinjitai simplifications are included in Level pre-1 and above of the Kanji Kentei (e.g., 餠 → 餅 ...
WuDao Corpora (also written as WuDaoCorpora), as of version 2.0, was a large dataset constructed for training Wu Dao 2.0. It contains 3 terabytes of text scraped from web data, 90 terabytes of graphical data (incorporating 630 million text/image pairs), and 181 gigabytes of Chinese dialogue (incorporating 1.4 billion dialogue rounds). [19]