DeepSeek案例介绍

大家好，欢迎来到AI使用技巧课堂！

相信大家这两天已经被deepseek炸屏了。

deepseek

搜索

“DeepSeek接班OpenAl"，R1推理模型让Al圈爆了

DeepSeek案例介绍

大家好，欢迎来到AI使用技巧课堂！

相信大家这两天已经被deepseek炸屏了。

deepseek

搜索

DeepSeek接班OpenAl，R1推理模型让Al圈爆了

DeepSeek V3 搭建个人知识库教程

前置准备

注册一个 deepseek 账号并获取密钥（api key），后面 anythingLLM 会使用这个密钥接入 deepseek

1. 打开 deepseek 官网：https://www.deepseek.com/
2. 点击右上角 api 开放平台，登录或者注册一个新账号
3. 注册自己的账号，新注册的账号会赠送 10 元免费额度（约 500w tokens）
4. 点击 apikeys，创建一个新的密钥，并复制
5. 最后获取到的密钥类似：sk-xxxxxxxxxxxxx

DeepSeek-V3 Technical Report

DeepSeek-AI

research@deepseek.com

Abstract

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 load balancing and sets a multi-token prediction training objective for stronger performance. We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities. Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models. Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training. In addition, its training process is remarkably stable. Throughout the entire training process, we did not experience any irrecoverable loss spikes or perform any rollbacks. The model checkpoints are available at https://github.com/deepseek-ai/DeepSeek-V3.

DeepSeek-V3 Technical Report

DeepSeek-AI

research@deepseek.com

Abstract

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 load balancing and sets a multi-token prediction training objective for stronger performance. We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities. Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models. Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training. In addition, its training process is remarkably stable. Throughout the entire training process, we did not experience any irrecoverable loss spikes or perform any rollbacks. The model checkpoints are available at https://github.com/deepseek-ai/DeepSeek-V3.

Deepseek 高效使用指南，1 分钟学会。

2025 Deepseek 爆火全球，会用的人说巨好用，差距就在提问方式，教你用 1个公式让 Deepseek 变身“职场军师”“学霸外挂”“流量引擎”。

凝炼出一套方法论，按万能公式「4 步提问法」

DeepSeek搞钱教程

（0基础入门）

免责申明：

1. 本资料来源于网络公开渠道，版权归属版权方；
2. 本资料仅限会员学习使用，如他用请联系版权方；
3. 会员费用作为信息收集整理及运营之必须费用；
4. 如侵犯您的合法权益，请联系客服微信将及时删除

行业报告资源群

1. 进群福利：进群即领万份行业研究、管理方案及其他学
   习资源，直接打包下载
2. 每日分享：6份行研精选报告、3个行业主题
3. 报告查找：群里直接咨询，免费协助查找
4. 严禁广告：仅限行业报告交流，禁止一切无关信息

微信扫码，长期有效

deepseek 应该怎样提问

为了让我的回答更准确和有用，你可以通过以下方式优化提问。我通过几个例子为你说明不同提问方式的区别：

$\star\star\mathbb{1}$ . 明确问题类型 $^+$ 具体细节**

好例子：

DeepSeek15天指导手册一从入门到精通

第一章：准备篇 (30分钟上手）

1.1三分钟创建你的AI伙伴

步骤详解：

1．访问官网：在浏览器输入「www.deepseek.com」 (就像打开微信一样简单)

2．注册账号：点击右上角「笑脸图标」 $\rightarrow$ 选择 「邮箱/手机注册」 (建议使用常用邮箱)

Deepseek1小时 快速入门教程

（适合零基础小白）

免责申明：

1. 本资料来源于网络公开渠道，版权归属版权方；
2. 本资料仅限会员学习使用，如他用请联系版权方；
3. 会员费用作为信息收集整理及运营之必须费用；
4. 如侵犯您的合法权益，请联系客服微信将及时删除

行业报告资源群

1. 进群福利：进群即领万份行业研究、管理方案及其他学
   习资源，直接打包下载
2. 每日分享：6份行研精选报告、3个行业主题
3. 报告查找：群里直接咨询，免费协助查找
4. 严禁广告：仅限行业报告交流，禁止一切无关信息

微信扫码，长期有效