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：

moisten    音标拼音: [m'ɔɪsən]
vt. 弄湿
vi. 变潮湿

弄湿变潮湿

moisten
v 1: make moist; "The dew moistened the meadows" [synonym:
{moisten}, {wash}, {dampen}]
2: moisten with fine drops; "drizzle the meat with melted
butter" [synonym: {drizzle}, {moisten}]

Moisten \Mois"ten\, v. t. [imp. & p. p. {Moistened}; p. pr. &
vb. n. {Moistening}.]
1. To make damp; to wet in a small degree.
[1913 Webster]

A pipe a little moistened on the inside. --Bacon.
[1913 Webster]

2. To soften by making moist; to make tender.
[1913 Webster]

It moistened not his executioner's heart with any
pity. --Fuller.
[1913 Webster]


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


  • Running Open Source LLMs Locally: Hardware Guide | Apatero
    Running open source LLMs locally in 2026 is practical, affordable, and genuinely useful The hardware requirements are reasonable, the tooling is mature, and the models themselves are better than ever
  • Recommended Hardware for Running LLMs Locally - GeeksforGeeks
    The GPU is the most critical component for LLM workloads, handling parallel operations, attention layers and large matrix multiplications High VRAM directly affects which model sizes can run locally without aggressive quantization, making it the main bottleneck to consider when choosing hardware
  • Running LLMs Locally: A Practical Guide to Models, Hardware, and . . .
    The range of open-source language models you can run on your own hardware in late 2025 is remarkable This post covers which models are available, what hardware they actually need, and how to get from zero to running inference in minutes
  • 50+ Open-Source Options for Running LLMs Locally - Vince Lam
    There are many open-source tools for hosting open weights LLMs locally for inference, from the command line (CLI) tools to full GUI desktop applications Here, I’ll outline some popular options and provide my own recommendations
  • How to Run LLMs Model Locally - GeeksforGeeks
    Well, we assume that at this stage you were aware of AI and LLM and how it works but do you know that you can download and run the LLMs locally on your desktop? This lets you work offline and keep full control over your data In this guide, you’ll learn how to run open-source LLMs (such as models from DeepSeek and others) locally, step by step Note: Throughout the article we are using
  • Building and Running LLMs Locally from Scratch – Complete 2026 Guide
    You’ll learn how to choose the right hardware, select suitable open-source models, install popular inference frameworks such as Ollama and llama cpp, optimize performance for your system, and create a reliable local AI setup capable of handling real-world tasks efficiently
  • Running LLMs Locally in 2026: Ollama, llama. cpp, and Self-Hosted AI for . . .
    Run LLMs on local hardware for privacy, lower costs, and faster inference—this guide covers Ollama, llama cpp, hardware, quantization, and deployment tips
  • Run LLMs Locally: A Guide to Hardware, Software Models
    For us, a local LLM is not a toy, but a powerful working tool, another utility in our arsenal According to discussions, models tailored for code, such as Qwen3-Coder or DeepSeek Coder, are used for quickly writing boilerplate, debugging complex sections, prototyping new features, and vibe coding
  • Run LLMs Locally: Hardware Tiers, Tools Compared Setup Guide
    This guide covers the hardware you need, the tools worth using, how to pick a model, and where local inference still falls short No "what is an LLM" preamble - if you're here, you already know
  • The Complete Developers Guide to Running LLMs Locally
    Running LLMs locally has shifted from a niche hobby to a legitimate production strategy in 2025 Developers who need to keep proprietary code off third-party servers, eliminate per-token costs,





中文字典-英文字典  2005-2009