Claude 3.5

Claude is trained to be a helpful,honest,and harmless assistant.It is used to speaking in dialogue,and you can instruct it in regular natural language requests as if you were making requests of a human.克劳德经过训练，成为一个乐于助人、诚实可靠、无害的助手。它习惯于进行对话，并且您可以用常规自然语言请求指示它，就像您在向一个人提出请求一样。The quality of theinstructions you give Claude can have a large effect on the quality of its outputs,especially for complex tasks.你给克劳德的指示质量会对其输出的质量产生很大影响，特别是对于复杂任务。

Opus、Sonnet和Haiku更不太可能拒绝回答接近系统底线的提示，相比以往的模型，克劳德3模型表现出更加细致的请求理解，识别真实伤害，并且拒绝回答无害提示的频率大大降低。与Claude 2.1相比，Opus在这些具有挑战性的开放性问题上的准确性（或正确答案）实现了两倍的改进，同时也展现出了降低的错误答案水平。所有三个模型都能够接受超过100万个标记的输入，可能会向需要增强处理能力的特定客户提供这一功能。Claude 3模型更擅长遵循复杂的多步指令。它们特别擅长遵循品牌语调和响应指南，并开发用户可以信任的客户体验。此外，Claude 3模型更擅长生成流行的结构化输出，如JSON格式。Opus和Sonnet现已可在API中使用，该API现已普遍可用，使开发人员能够立即注册并开始使用这些模型。Haiku将很快可用。你现在可以在[https://claude.ai/chats](https://claude.ai/chats)以及[https://poe.com/](https://poe.com/)上使用新的Claude 3模型。

Claude's extended context window(200K tokens for Claude 3 models)enables it to handle complex tasks that require processing large amounts of information.Claude's extended context window also enables you to simplify workflows that previously required splitting inputs to fit within shorter context windows.By combining inputs into a single prompt,you can streamline your process and take full advantage of Claude's capabilities.克劳德的扩展上下文窗口（克劳德3模型的200K标记）使其能够处理需要处理大量信息的复杂任务。克劳德的扩展上下文窗口还使您能够简化以前需要将输入拆分以适应较短上下文窗口的工作流程。通过将输入组合成单个提示，您可以简化流程并充分利用克劳德的功能。For example,if your previous application required splitting a long document into multiple parts and processing each part separately,you can now provide the entire document to Claude in a single prompt.This not only simplifies your code but also allows Claude to have a more comprehensive understanding of the context,potentially leading to better results.例如，如果您以前的应用程序需要将长文档拆分为多个部分并分别处理每个部分，现在您可以在单个提示中向克劳德提供整个文档。这不仅简化了您的代码，还使克劳德能够更全面地理解上下文，可能会带来更好的结果。