9.in largein the largeas a totality or on a broad scale adv 10.(Nautical Terms)nauticalwith the wind blowing from a favourable direction 11.by and large a.(sentence modifier) generally; as a rule:by and large, the man is the breadwinner. ...
The meaning of LARGE is exceeding most other things of like kind especially in quantity or size : big. How to use large in a sentence.
The meaning of IN LARGE MEASURE is not entirely but mostly : largely. How to use in large measure in a sentence.
a不可替代的 Cannot be substituted[translate] a句子中一定有很大异常错误,希望你可以纠正我的英文。thanks In the sentence has certainly very greatly exceptionally is wrong, hoped you may correct my English.thanks[translate]
aInstruct students to write their sentence on a large strip of paper, then tear the paper between the cause and effect portion. Pin each section of the sentence under the headings “Cause” & “Effect” on the bulletin board. This will remind the students of the lesson throughout the week...
During the training process, these models learn to predict the next word in a sentence based on the context provided by the preceding words. The model does this through attributing a probability score to the recurrence of words that have been tokenized— broken down into smaller sequences of ch...
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence ContextEMNLP 2024 Findings2024-03-04TQA, TFVLlama-2Github UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure RecognitionEMNLP 2024 Findings2024-09-20Table Recognition ...
The meaning of IN LARGE PART is not entirely but mostly : largely. How to use in large part in a sentence.
Movie and TV subtitles are a highly valuable resource for the compilation of parallel corpora thanks to their availability in large numbers and across many languages. However, the quality of the resulting sentence alignments is often lower than for other parallel corpora. This paper presents a new...
Unsupervised learning does not require labeled data. Instead, the model learns patterns and structures from the data itself without explicit guidance on what the output should be. Most LLMs are initially trained using unsupervised learning, where they learn to predict the next word in a sentence g...