Researches Suggest Prompting Framework Which Outperforms Reinforcement Learning

https://ift.tt/5k2RdWy A new study by researchers from Carnegie Mellon University, NVIDIA, Ariel University, and Microsoft has proposed a t...

https://ift.tt/5k2RdWy

A new study by researchers from Carnegie Mellon University, NVIDIA, Ariel University, and Microsoft has proposed a two-stage approach called SPRING (Study-Prompt-Reasoning-Inference-Navigate-Guide). The prompting framework outperforms the traditional reinforcement learning approach for training intelligent agents. The study primarily focused on using Large Language Models (LLMs) for understanding and reasoning with human knowledge in the context […]

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