Bridging Gaps with FLARE to Enhance Language Model Responses
In the latest Paper Club Podcast episode, hosts Rafael and Marcia team up with Leticia Fernandes from Deeper Insights. They dissect the "Active Retrieval Augmented Generation" paper from Sea AI Lab, Carnegie Mellon University and MetaAI Research. This paper introduces the FLARE method, enhancing large language model responses by using their predictions to iteratively retrieve relevant documents. The discussion delves into its transformative AI implications.
We also extend a special thank you to the teams at Sea AI Lab, MetaAI Research and Carnegie Mellon University for developing this month’s paper. If you are interested in reading the paper for yourself, please check this link: https://arxiv.org/pdf/2305.06983.pdf
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