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Scaffolded LLMs as natural language computers

beren.io · 3,792 words · saved by 1 readers

Recently, LLM-based agents have been all the rage – with projects like AutoGPT showing how easy it is to wrap an LLM in a simple agentic loop and prompt it to achieve real-world tasks. More generally, we can think about the class of ‘scaffolded’ 1 LLM systems – which wrap...

Recently, LLM-based agents have been all the rage – with projects like AutoGPT showing how easy it is to wrap an LLM in a simple agentic loop and prompt it to achieve real-world tasks. More generally, we can think about the class of ‘scaffolded’ 1 LLM systems – which wrap a programmatic scaffold around an LLM core and chain together a number of individual LLM calls to achieve some larger and more complex task than can be accomplished in a single prompt. The idea of scaffolded LLMs is not new, however with GPT4, we have potentially reached a threshold of reliability and instruction following ca

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