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深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。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/We've officially launched DeepSeek-V2.5 - a powerful combination of DeepSeek-V2-0628 and DeepSeek-Coder-V2-0724! This new version not only retains the general conversational capabilities of the Chat model and the robust code processing power of the Coder model but also better aligns with human preferences. Additionally, DeepSeek-V2.5 has seen significant improvements in tasks such as_The default value of temperature is 1.0. The Temperature Parameter The default value of temperature is 1.0. We recommend users to set the temperature according to their use case listed in below..Rate Limit & Isolation Concurrency Limit For each account, the concurrency limits for different DeepSeek API models are shown in the table below. If you need higher concurrency, you can submit a capacity expansion request. We will match the appropriate concurrency based on your actual business needs. There is no additional cost for capacity expansion.+Account FAQ Account Cannot sign in to my account If you see the message 「your account has been temporarily suspended」 while logging in，this indicates that your account has triggered suspension protocols due to potential violations of the platform usage guidelines. If you believe this is an error, please contact us by filling out the 「Account Suspension Appeal」 form. We will carefully!Multi-round Conversation This guide will introduce how to use the DeepSeek /chat/completions API for multi-turn conversations. The DeepSeek /chat/completions API is a "stateless" API, meaning the server does not record the context of the user's requests. Therefore, the user must concatenate all previous conversation history and pass it to the chat API with each request. The following code in-Token & Token Usage Tokens are the basic units used by models to represent natural language text, and also the units we use for billing. They can be intuitively understood as 'characters' or 'words'. Typically, a Chinese word, an English word, a number, or a symbol is counted as a token. Generally, the conversion ratio between tokens in the model and the number of characters is approximately