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advisable    音标拼音: [ədv'ɑɪzəbəl]
a. 可取的,适当的

可取的,适当的

advisable
adj 1: worthy of being recommended or suggested; prudent or
wise; "such action is neither necessary nor advisable";
"extreme caution is advisable"; "it is advisable to
telephone first" [ant: {inadvisable}, {unadvisable}]

Advisable \Ad*vis"a*ble\, a.
1. Proper to be advised or to be done; expedient; prudent.
[1913 Webster]

Some judge it advisable for a man to account with
his heart every day. --South.
[1913 Webster]

2. Ready to receive advice. [R.] --South.
[1913 Webster]

Syn: Expedient; proper; desirable; befitting.
[1913 Webster]


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  • DeepSeek | 深度求索
    基于自研训练框架、自建智算集群和万卡算力等资源,深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型,如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代码大模型,并在2024年1月率先开源国内首个MoE大模型(DeepSeek-MoE),各大模型在公开评测榜单及
  • DeepSeek - Wikipedia
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  • deepseek-ai DeepSeek-V3 · Hugging Face
    We’re on a journey to advance and democratize artificial intelligence through open source and open science
  • DeepSeek AI: Open-Weight Generative LLMs at 20× Lower Cost
    By leveraging a pre-export stockpile of Nvidia A100 and H800 GPUs—and a small, multidisciplinary team—DeepSeek pioneered open-weight LLMs under an MIT license, democratizing access to cost-effective generative AI worldwide
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    DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient million-token context inference
  • [2412. 19437] DeepSeek-V3 Technical Report - arXiv. org
    We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2 Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for
  • Deep Seek V4 Released: Features, Benchmarks Dates 2026
    Quick answer DeepSeek V4 is released On April 24, 2026, DeepSeek shipped two open-weight (MIT) models as a preview: V4-Pro (1 6T params) and V4-Flash (284B), both with 1M-token context via the API The legacy deepseek-chat and deepseek-reasoner aliases retire July 24, 2026, 15:59 UTC
  • DeepSeek V4: 1. 6T MoE, 1M Context, $0. 87 M Output (2026 Guide)
    deepseek-v4-pro: 1 6T total parameters, 49B active per token deepseek-v4-flash: 284B total parameters, 13B active per token Both run with a 1M-token context window by default across all official DeepSeek services, support JSON output, tool calls, and thinking plus non-thinking modes, and expose 384K max output tokens
  • DeepSeek · GitHub
    DeepSeek has 34 repositories available Follow their code on GitHub
  • DeepSeek
    DeepSeek





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