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DeLLMa: Decision Making Under Uncertainty with Large Language Models
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DeLLMa: Decision Making Under Uncertainty with Large Language Models More Research How does GPT-2 compute greater-than? How Transformers learn in-context? How to interpret diffusion models? How to improve text-to-image alignment? LLM360: Towards Fully Transparent Open-Source LLMs DeLLMa : Decision Making Under Uncertainty with Large Language Models Ollie Liu 1* , Deqing Fu 1* , Dani Yogatama 1 , Willie Neiswanger 1 1 University of Southern California * Equal Contribution Paper Code Classical decision theory has helped humans make rational decisions for decades. Can it do the same for Large Language Models (LLMs)? DeLLMa (pronouced dilemma) is a Decision-making Large Language Model assistant, which utilizes the power of Large Language Models and Classical Decision Theory to help LLMs make decisions under uncertainty. Abstract The potential of larg...
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