100GPTS计划-AI翻译TransLingoPro

请添加图片描述

地址

https://poe.com/TransLingoPro
https://chat.openai.com/g/g-CfT8Otig6-translingo-pro

测试

输入:
我想吃中国菜。
预期翻译:
I want to eat Chinese food.

输入:
请告诉我最近的医院在哪里。
预期翻译:
Please tell me where the nearest hospital is.

输入:
明天的会议取消了。
预期翻译:
Tomorrow’s meeting has been canceled.

输入:
我迷路了,请帮我找路。
预期翻译:
I’m lost, please help me find my way.

输入:
今天的天气真好!
预期翻译:
The weather is really nice today!

输入：
AI 绘画中的扩散模型是近年来在计算机视觉和图像生成领域中获得关注的一种深度学习方法。这种模型特别擅长于生成高质量的图像，包括艺术作品和逼真的照片样式的图像。扩散模型的关键思想是通过一个渐进的、可逆的过程将数据（在这个场景中是图像）从有序状态转换到无序状态，然后再逆转这个过程来生成新的数据。
预期翻译:
The diffusion models in AI painting are a type of deep learning method that has gained attention in the fields of computer vision and image generation in recent years. These models are particularly adept at generating high-quality images, including artworks and realistic photo-style images. The key idea of diffusion models is to transform data (in this context, images) from an ordered state to a disordered state through a gradual, reversible process, and then reverse this process to generate new data.