DeepClaude 是近期备受关注的一个AI项目，它通过将 DeepSeek-R1 的链式推理与 Claude 3.5 Sonnet 的代码生成能力深度融合，形成了独特的双模型协同机制，从而实现了高质量内容的高效输出。
受DeepClaude的启发，302.AI推出了新功能：为所有大模型增加推理能力。
但与DeepClaude不同的是，302.AI的这一功能支持所有模型。
原理大致如下：
用户提出问题→交给DeepSeek-R1模型生成详细的思考过程→将这份思考过程与原始问题拼接，作为增强后的输入喂给原有模型→整合后模型输出答案。
这种推理能力的增强方式无需对原有模型进行重新训练或大幅修改，而是通过外部推理模块（如DeepSeek-R1）提供推理支持。在保留原有模型性能和优势的基础上，快速为其赋予强大的推理能力，实现功能的高效拓展。
最难得的是，这个机制是API层面实现的，接入时没有任何门槛，只需要改动模型名称即可。无论是客户端，还是代码中调用，可以迅速享受到DeepSeek-R1带来的推理能力加成。
DeepClaude效果示例
1、推理模式
示例模型GPT-4：能够深入理解复杂的文本内容，并根据上下文生成连贯、合理的回答，但其在复杂推理任务中的局限性较为明显，且容易出现模型“幻觉”。
模型原始回答：
（表示信息不足，无法给出答案）
开启推理模式后：
（展示详细的思考过程，最后给出正确答案）
2、推理模式+联网搜索
示例模型GPT 3.5 turbo：纯文本模型，仅支持文本输入和输出在处理复杂的逻辑推理任务时表现较弱，知识截止日期为2023年，无法实时获取最新的信息。
模型原始回答：
（信息滞后回答错误，且模型直接给出答案无思考过程）
联网搜索+推理模式：
（模型通过联网搜索的信息，一步步进行思考推理，最后给出正确答案）
3、推理模式+图片分析+联网搜索：
此外，还可以将图片分析、联网搜索、推理模式三种功能结合。图片分析功能在聊天机器人中是默认的，直接发送图片即可进行分析，其他两个功能按需打开叠加使用即可。
示例模型GPT 3.5 turbo：纯文本模型，仅支持文本输入和输出在处理复杂的逻辑推理任务时表现较弱，知识截止日期为2023年，无法实时获取最新的信息。
推理模式+图片分析+联网搜索：
（准确给出答案，价格也正确）
如何在302.AI上使用
在302.AI的聊天机器人和API超市中增加推理能力的详细步骤如下：
1、在聊天机器人中开启推理模式：
（1）选择使用机器人→聊天机器人→任意选择模型（示例中为gpt-4o）→创建聊天机器人；
（2）进入聊天机器人后，在页面对话框处可一键开启推理模式；
（3）可与联网搜索功能一起使用，同时点亮即可；
2、在API调用中开启推理模式
所有大模型后缀加上【-r1-fusion】，即可为模型增加推理能力
(1)依次点击：使用API→API超市→语言大模型→302.AI，选择查看文档进入
（2）进入相关文档后，可支持在线调试：
在线调试提供的参数中，按需修改模型名称后缀使用：
例如：gpt-4o → gpt-4o-r1-fusion
可以看到返响应中含有reasoning-content：
此功能和图片分析或联网搜索一起使用，同理只需要修改后缀：
例如：gpt-4o → gpt-4o-r1-fusion-web-search
总结
这种“先思考、后执行”的机制，不仅避免了直接对原模型进行昂贵的微调，甚至能让老旧模型焕发新生，就像给手机安装了一个无需刷机的“智能大脑插件”。结合联网搜索、图片分析等功能，推理模式的应用范围更是得到了极大的扩展。
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为什么选择302.AI？
● 灵活付费：无需月费，按需付费，成本可控
● 丰富功能：从文字、图片到视频，应有尽有，满足多种场景需求
● 开源生态：支持开发者深度定制，打造专属AI应用
● 易用性：界面友好，操作简单，快速上手
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