ChatGPT is a language model designed to generate humanlike responses to a wide range of prompts and questions.

ChatGPT 是一种语言模型，旨在对各种提示和问题生成类似人类的响应。

These AIs operate on models initially designed for language.

这些人工智能在最初为语言设计的模型上运行。

Physical constraints—insufficient memory, say, or rising energy costs—place practical limitations on bigger model designs.

物理限制（例如内存不足或能源成本上升）对更大的模型设计造成了实际限制。

And if you enter the prompt into a different model designed by different people and trained on different data, you'll get a different result.

如果你把提示输入不同的模型，由不同的人设计，根据不同的数据训练，你就会得到不同的结果。

Ms Lobel calls on AI practitioners to remedy the technology's problems; Ms Thompson asks data scientists to be conscious of the choices and values in a model's design.

洛贝尔呼吁人工智能从业者纠正这项技术的问题；汤普森要求数据科学家意识到模型设计中的选择和价值。

This so-called reward model, designed to assign higher scores to responses a human would like, and lower scores to everything else, is then used to train the original LLM.

这种所谓的奖励模型旨在为人类想要的反应分配更高的分数，为其他一切分配更低的分数，然后用于训练原始的 LLM。