英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字,中文词皆可:

bespoken    
vbl. 预约,订,显示

预约,订,显示

bespoken
adj 1: (of clothing) custom-made [synonym: {bespoke}, {bespoken},
{made-to-order}, {tailored}, {tailor-made}]
2: pledged to be married; "the engaged couple" [synonym: {bespoken},
{betrothed}]

committed \committed\ adj.
1. Bound or obligated, as under a pledge to a particular
cause, action, or attitude. Opposite of {uncommitted}.

Note: [Narrower terms: {bound up, involved, wrapped up};
{dedicated, devoted}; {pledged, sworn}]
[WordNet 1.5]

2. Associated in an exclusive sexual relationship; also
called {attached}. Opposite of {unattached}.

Note: [Narrower terms: {affianced}, {bespoken}, {betrothed},
{engaged}, {pledged}, {promised}(predicate); {married}]
[Also See: {loving}.]

Syn: attached.
[WordNet 1.5]

3. Consigned involuntarily to custody, as in a prison or
mental institution.
[WordNet 1.5]


Bespeak \Be*speak"\, v. t. [imp. {Bespoke}, {Bespake} (Archaic);
p. p. {Bespoke}, {Bespoken}; p. pr. & vb. n. {Bespeaking}.]
[OE. bispeken, AS. besprecan, to speak to, accuse; pref. be-
sprecan to speak. See {Speak}.]
1. To speak or arrange for beforehand; to order or engage
against a future time; as, to bespeak goods, a right, or a
favor.
[1913 Webster]

Concluding, naturally, that to gratify his avarice
was to bespeak his favor. --Sir W.
Scott.
[1913 Webster]

2. To show beforehand; to foretell; to indicate.
[1913 Webster]

[They] bespoke dangers . . . in order to scare the
allies. --Swift.
[1913 Webster]

3. To betoken; to show; to indicate by external marks or
appearances.
[1913 Webster]

When the abbot of St. Martin was born, he had so
little the figure of a man that it bespoke him
rather a monster. --Locke.
[1913 Webster]

4. To speak to; to address. [Poetic]
[1913 Webster]

He thus the queen bespoke. --Dryden.
[1913 Webster]


bespoken \be*spok"en\ adj.
1. same as {made-to-order}; -- of clothing.

Syn: bespoke, custom, made-to-order, tailored, tailor-made.
[WordNet 1.5]

2. bound by an agreement to become married to someone.

Syn: affianced, betrothed, engaged, pledged,
promised(predicate).
[WordNet 1.5]


请选择你想看的字典辞典:
单词字典翻译
Bespoken查看 Bespoken 在百度字典中的解释百度英翻中〔查看〕
Bespoken查看 Bespoken 在Google字典中的解释Google英翻中〔查看〕
Bespoken查看 Bespoken 在Yahoo字典中的解释Yahoo英翻中〔查看〕





安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • Understanding Neural Networks in LLMs | by Janani Srinivasan Anusha . . .
    Neural networks form the backbone of Large Language Models (LLMs), enabling them to process and generate human-like text This post will explore how these networks work, highlighting the
  • Large Language Model (LLM) - GeeksforGeeks
    Large Language Models (LLMs) are advanced AI systems built on deep neural networks designed to process, understand and generate human-like text LLMs Learn patterns, grammar and context from text and can answer questions, write content, translate languages and many more
  • Large language model - Wikipedia
    A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots [1]
  • Introduction to Large Language Models - Google Developers
    Language models utilize context, the surrounding information of a target token, to enhance prediction accuracy, with recurrent neural networks offering more context than traditional N-grams
  • What are large language models (LLMs)? - IBM
    A major shift came in the 2010s with the rise of neural networks, with word embeddings like Word2Vec and GloVe, which represented words as vectors in continuous space, enabling models to learn semantic relationships
  • Understanding LLMs: A Comprehensive Overview from Training to Inference
    With the evolution of deep learning, the early statistical language models (SLM) have gradually transformed into neural language models (NLM) based on neural networks This shift is characterized by the adoption of word embeddings, representing words as distributed vectors
  • What are Neural Networks and Large Language Models?
    Large Language Models (LLMs) are a specific subset of neural networks designed to understand and generate human language These models are trained on vast datasets of text from the internet, books, and other sources to learn the nuances of language, grammar, context, and even some level of reasoning
  • LLMs Decoded: How Large Language Models Really Work (2025 Guide)
    LLMs are built on a neural network architecture called the Transformer, introduced in the 2017 paper "Attention is All You Need" Input Text → Tokens: The input is split into tokens (usually subwords) Embedding Layer: Each token is converted into a dense vector
  • How LLMs Work: From Neural Networks to Real-World Uses
    Deep learning refers to neural networks with multiple hidden layers, allowing them to learn increasingly complex data representations LLMs typically employ deep learning techniques to process and generate text
  • CHAPTER Large Language Models - Stanford University
    These three architectures can be built out of many kinds of neural networks The most widely used network type today is the transformer that we’ll introduce in Chapter 8





中文字典-英文字典  2005-2009