DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence DeepSeek-AI research@deepseek.com Abstract We present a preview version of DeepSeek-V4 series, including two strong Mixture-of- one-million-token context setting, DeepSeek V4-Pro requires only 27% of single-token inference FLOPs and 10% of KV cache compared with DeepSeek-V3.2. This enables us to routinely support one-million-token contexts 34 5.2.3 Preemptible and Fault-Tolerant Rollout Service 34 5.2.4 Scaling RL Framework for Million-Token Context 35 5.2.5 Sandbox Infrastructure for Agentic AI 35 5.3 Standard Benchmark Evaluation 36 5.3

## Hello World 最简单的Hello World，会给收到的每一条信息回复 Hello World import werobot robot = werobot.WeRoBot(token='tokenhere') @robot.handler def echo(message): return 'Hello World!' robot.run() RoBot就会根据这个值创建回复，后面的handlers将不会被执行。 你可以通过两种方式添加handler import werobot robot = werobot.WeRoBot(token='tokenhere') # 通过修饰符添加handler @robot.handler def echo(message): return 'Hello World werobot.WeRoBot(token='tokenhere') @robot.hello def hello(message): return 'Hello My Friend!' robot.run() 或者，你的 handler 只能处理文本？ import werobot robot = werobot.WeRoBot(token='tokenhere')

console as developer. If you want to log into the CLI using the same session token: oc login https://127.0.0.1:8443 --token=  A token is a form of a password. Do not share your API token. To reveal your token, press the copy to clipboard button and then paste the clipboard name: alice current-context: alice kind: Config preferences: {} users: - name: alice user: token: NDM2N2MwODgtNjl1Yy10N3VhLTg1YmltYzI4NDEzZDUyYzVi CLI 配置文件可用于使用各种 OpenShift Container Platform 服务器、命名空间和用户设置多个

the source side. On the server side: 1. A CORS policy is needed. Without it, the Authorization token containing the JWT will be rejected. It’s a simple policy but you need to strictly define the authorized utilise le méchanisme ofbiz standard de login via cookies, il pourra par la suite utiliser le login par token de ofbiz (cf https://issues.apache.org/jira/browse/OFBIZ-9833). Les screens, forms, menus utilisés neglected for the security of a production environment ## JWT usage As says Wikipedia: JSON Web Token (JWT) is an Internet standard for creating JSON-based access tokens that assert some number of claims

to jQuery 3.3 (PR #3655) • Update marked to 0.4 (PR #3686) ## Fixing problems: • Don’t duplicate token in displayed URL (PR #3656) • Clarify displayed URL when listening on all interfaces (PR #3703) • Allow non empty paths to be deleted (PR #3108). • Set cookie on base url (PR #2959). • Allow token-authenticated requests cross-origin by default (PR #2920). • Change cull idle timeout minimum to pdf-like files (PR #3031). • Add folder for document translation (PR #3022). • When login-in via token, let a chance for user to set the password (PR #3008). • Switch to jupyter_core implementation of

notebook in another website ○ Known issues • Security in the Jupyter notebook server Alternatives to token authentication • Security in notebook documents The problem Our security model ☐ The details of either: - originate from pages served by this server (validated with XSRF cookie and token), or • authenticate with a token Some anonymous compute resources still desire the ability to run code, completely tokenUnicode Default:；（generated） Token used for authenticating first-time connections to the server. When no password is enabled, the default is to generate a new, random token. Setting to an empty string

either: - originate from pages served by this server (validated with XSRF cookie and token), or - authenticate with a token Some anonymous compute resources still desire the ability to run code, completely NotebookApp.token [Unicode] Default:；（generated） Token used for authenticating first-time connections to the server. When no password is enabled, the default is to generate a new, random token. Setting server. For this reason, notebook 4.3 introduces token-based authentication that is on by default. Note: If you enable a password for your notebook server, token authentication is not enabled by default, and

方案设计和工程实现 ## 方案设计—Token、策略 ## - 启发： - 抽象：子状态（特征维度） - 子状态组合成状态，同时子状态也可以组合成策略 - 策略选取：特征匹配 - 解决维度爆炸：只取部分子状态 - 统一“状态”的标准 ## - 方案设计 - 子状态：token - 状态：token 的组合（所有符合条件的） - 策略：token 的组合（提取部分） - 匹配：策略是状态的子集 匹配：策略是状态的子集 ## - Token 数量 - 大类：30+ - 小类：150+ - 总数：2000+ ## - 专利：《一种基于Token化内容的游戏策略播报方案》 2023-01-08 14:26:33 BattleID: 7185353013734609561 (Development) Trace ID: andruzhang_replay_58290f0730c64ac492f21aed665a1748 推荐话术： token 列表：103110002 / 104011000 / 111025001 token 描述：附近0-100米无队友 / 持有主武器 / 附近有多个枪声 qidnesc: 哎呀, 好多人过来了, 快找个地方隐蔽起来吧 ## Qid: 210260188640000 ## token列表： 101010006.token 游戏大后期 101050009.token 游戏正式对局中

的缩写，表示万亿。在 AI 大模型中，“T”常用来表示模型在训练中处理的 Token 数量。Token 是指模型处理的基本单元，可以是一个单词、子词，或者字符等。 在大规模预训练语言模型的训练中，通常会提到模型是在多少个 Token 上进行学习的，以表明模型的训练规模和数据量。例如：LLaMA3 语言模型使用了超过 15T 个 token 进行训练。 ## 2 AI 工具梳理 大家有没有觉得 AI

Table of contents 1. Overview.....3 a. Environmental Setup 2. Configurations.....4 3. Token Persistence.....7 a. Implementing OAuth Persistence b. Database Persistence c. File dels/authenticator/oauth_token" /* * Create a Token instance * 1 -> OAuth client id. * 2 -> OAuth client secret. * 3 -> REFRESH/GRANT token. * 4 -> token type. * 5 -> OAuth redirect redirect URL. */ let token: OAuthToken = new OAuthToken("clientId", "clientSecret", "REFRESH/GRANT Token", TokenType.REFRESH/TokenType.GRANT, "redirectURL"); 5. Create