Were RNNs All We Need...and better than GenAI Transformers for human-level AI?
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Published on ● Video Link: https://www.youtube.com/watch?v=B0q74FWI-gg
Deep dive podcast into the new research of bringing the deeper networks to the future titled "Were RNNs All We Needed?" that examines the potential of upgraded recurrent neural networks (RNNs) like LSTMs and GRUs for long sequence modeling and human-level AI. The authors propose simplified versions of these RNNs, called minLSTMs and minGRUs, which can be trained efficiently in parallel without sacrificing performance. They argue that these minimal versions are as effective as more recent models, including Transformers and Mamba, while being computationally more efficient.
Reference and attribution: https://arxiv.org/pdf/2410.01201