335 citations · 344 across the 10 of their papers we have counts for
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cs.CL2024
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?
Lewen Yang, Xuanyu Zhou, Juao Fan +2
Over the past few decades, Artificial Intelligence(AI) has progressed from the initial machine learning stage to the deep learning stage, and now to the stage of foundational model…
cs.CL2023★ 335 cited
Unleashing the potential of prompt engineering for large language models
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené +1
This comprehensive review delves into the pivotal role of prompt engineering in unleashing the capabilities of Large Language Models (LLMs). The development of Artificial Intellige…