据微软一篇论文《CodeFusion: A Pre-trained Diffusion Model for Code Generation》透露，ChatGPT 模型参数只有 200 亿。此事引起了广泛关注。
ChatGPT 是一个基于 GPT-3.5 的预训练扩散模型，由清华大学 KEG 实验室和智谱 AI 公司共同训练。它主要用于代码生成、机器翻译、文本生成等任务。ChatGPT 的模型参数之所以引起广泛关注，是因为它的参数数量只有 200 亿，远低于 OpenAI 的 GPT-3，这是一个重大的突破。
虽然 ChatGPT 的模型参数较少，但它在代码生成等任务中表现出色。它能够通过学习大量的代码和文本数据，生成高质量的代码和文本。此外，ChatGPT 还可以通过与其他模型进行结合，进一步提高其性能。
此次发现引起了广泛关注，人们开始关注 ChatGPT 在未来将如何发展。虽然 ChatGPT 已经取得了很大的成功，但它仍有很大的潜力可以进一步提高。
英文翻译：
Microsoft’s latest paper reveals that the model parameters of ChatGPT are only 200 billion. This has caused widespread attention.
ChatGPT is a pre-trained diffusion model based on GPT-3.5, jointly trained by Tsinghua University KEG Lab and Zhipu AI Company. It is mainly used for tasks such as code generation, machine translation, and text generation. The reason why the model parameters of ChatGPT have caused widespread attention is that its parameters are only 200 billion, significantly fewer than GPT-3, which is a major breakthrough.
In addition to having a small number of model parameters, ChatGPT performs well in tasks such as code generation. It can generate high-quality code and text by learning a large amount of code and text data. Furthermore, ChatGPT can also improve its performance by combining it with other models.
This discovery has caused widespread attention, and people are starting to pay attention to how ChatGPT will develop in the future. Although ChatGPT has already made great progress, there is still a lot of potential for it to further improve.
【来源】https://www.jiqizhixin.com/articles/2023-10-31-7
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