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:

inhibited    音标拼音: [ɪnh'ɪbətɪd]
禁止的

禁止的

inhibited
adj 1: held back or restrained or prevented; "in certain
conditions previously inhibited conditioned reactions can
reappear" [ant: {uninhibited}]

Inhibit \In*hib"it\, v. t. [imp. & p. p. {Inhibited}; p. pr. &
vb. n. {Inhibiting}.] [L. inhibitus, p. p. of inhibere; pref.
in- in habere to have, hold. See {Habit}.]
[1913 Webster]
1. To check; to hold back; to restrain; to hinder.
[1913 Webster]

Their motions also are excited or inhibited . . . by
the objects without them. --Bentley.
[1913 Webster]

2. To forbid; to prohibit; to interdict.
[1913 Webster]

All men were inhibited, by proclamation, at the
dissolution, so much as to mention a Parliament.
--Clarendon.
[1913 Webster]

Burial may not be inhibited or denied to any one.
--Ayliffe.
[1913 Webster]

3. (Chem., Biochem.) To cause the rate of (a chemical or
biochemical reaction) to proceed slower, or to halt; as,
vitamin C inhibits oxidation; penicillins inhibit
bacterial cell wall synthesis.
[PJC]

4. To restrain (a behavior) by a mechanism involving
conscious or unconscious motivations.
[PJC]


inhibited \inhibited\ adj.
1. held back or restrained or prevented; as, in certain
conditions previously inhibited conditioned reactions can
reappear; -- of behaviors. Opposite of {uninhibited}.
[Narrower terms: {pent-up, repressed ; {stifled,
strangled, suppressed ] Also See: {reserved},
{restrained}.
[WordNet 1.5]

2. Having a hesitancy or reluctance to exhibit normal
emotional reactions; -- of people; as, he was too
inhibited to make friends easily.
[PJC]


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


  • Highly Performant, Modular and Memory Safe - GitHub
    Whether you're working with text, images, audio, PDFs, websites, or other media, EmbedAnything streamlines the process of generating embeddings from various sources and seamlessly streaming (memory-efficient-indexing) them to a vector database
  • Embedding Models - AnythingLLM
    Embedding models are specific types of models that turn text into vectors, which can be stored and searched in a vector database - which is the foundation of RAG
  • GitHub Pages - Starlight Search
    Whether you're working with text, images, audio, PDFs, websites, or other media, EmbedAnything streamlines the process of generating embeddings from various sources and seamlessly streaming (memory-efficient-indexing) them to a vector database
  • AnythingLLM Default Embedder ~ AnythingLLM
    AnythingLLM ships with a built-in embedder model that runs on CPU The model is the popular all-MiniLM-L6-v2 model, which is primarily trained on English documents All-in-one AI application that can do RAG, AI Agents, and much more with no code or infrastructure headaches
  • embed-anything · PyPI
    Whether you're working with text, images, audio, PDFs, websites, or other media, EmbedAnything streamlines the process of generating embeddings from various sources and seamlessly streaming (memory-efficient-indexing) them to a vector database
  • embed_anything - Rust - Docs. rs
    Whether you’re working with text, images, audio, PDFs, websites, or other media, embed_anything streamlines the process of generating embeddings from various sources and seamlessly streaming (memory-efficient-indexing) them to a vector database
  • AnythingLLM: Complete Guide to Setup, RAG, and Use Cases
    Embedding (the standard RAG approach) breaks the document into chunks, converts them to vectors, and stores them in the workspace Once embedded, documents work across all your chats in that workspace
  • RAG + Embedding with AnythingLLM and Ollama - My Playground
    AnythingLLM - is an all-in-one AI application that simplifies the interaction with Large Language Models (LLMs) for business intelligence purposes It allows users to chat with any document, such as PDFs or Word files, using various LLMs, including enterprise models like GPT-4 or open-source models like Llama and Mistral
  • Using Documents in AnythingLLM ~ AnythingLLM
    AnythingLLM supports both attaching documents and embedding documents (RAG Reranking) for your convenience and flexibility Uploaded documents in the chat are workspace and thread scoped This means that documents uploaded in one thread will not be available in another chat
  • EmbedAnything README. md at main - GitHub
    Whether you're working with text, images, audio, PDFs, websites, or other media, EmbedAnything streamlines the process of generating embeddings from various sources and seamlessly streaming (memory-efficient-indexing) them to a vector database





中文字典-英文字典  2005-2009