Reflexion
topic on 1 show · 4 statements across 1 episodes · said 5 times in 1 episodes since 2024
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4 statements about Reflexion, every show
Shunyu Yao advises developers to default to minimalist prompting for AI agents
“And I think in terms of the actual prompting method to use for a particular problem, I'm I think we should all be in the minimum list kind of camp, right? You should try the minimum thing and see if it works and if it doesn't work and there's absolute reason t…”
Yao: Evaluator quality is the key bottleneck for agent self-reflection
“I think a key bottleneck is the evaluator, right? Basically you need to have a good sense of the signal. So for example, like if you are trying to do a very hard reasoning task, say mathematics, For example, and you don't have any tools, right? It's operating …”
Chase: LangChain and other frameworks lack off-the-shelf Reflexion implementations
“I don't think we have like an off the shelf kind of like implementation of reflection and kind of like the general sense. I think the concepts like absolutely we see used in different kind of like specific cognitive architectures, but I don't think we have one…”
Yao: Reflexion replaces scalar RL rewards with verbal gradient descent
“I think one way to think of reflection is that the traditional idea of reinforcement learning is you have a scalar reward, and then you somehow back propagate the signal of the scalar reward. To the rest of your neural network through whatever algorithm, like …”