Ars Technica - All content 07月07日 20:31
How a big shift in training LLMs led to a capability explosion
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2023年4月,GPT-4发布后不久,两款名为BabyAGI和AutoGPT的新软件项目引发热议。开发者们利用这些项目构建自主智能体,与大型语言模型GPT-4协作解决复杂问题。

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT.

“Over the past week, developers around the world have begun building ‘autonomous agents’ that work with large language models (LLMs) such as OpenAI’s GPT-4 to solve complex problems,” Mark Sullivan wrote for Fast Company. “Autonomous agents can already perform tasks as varied as conducting web research, writing code, and creating to-do lists.”

BabyAGI and AutoGPT repeatedly prompted GPT-4 in an effort to elicit agent-like behavior. The first prompt would give GPT-4 a goal (like “create a 7-day meal plan for me”) and ask it to come up with a to-do list (it might generate items like “Research healthy meal plans,” “plan meals for the week,” and “write the recipes for each dinner in diet.txt”).

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BabyAGI AutoGPT GPT-4 自主智能体 大型语言模型
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