Long-Term Memory

Vector Embeddings: Solving AutoGPT’s Hallucination Problem?

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Vector Embeddings: Solving AutoGPT's Hallucination Problem?

Source | Eye on AIOneFlow Compilation and Translation | Jia Chuan, Yang Ting, Xu Jiayu “The hallucination problem of ‘serious nonsense’ is a common issue that large language models (LLMs) like ChatGPT urgently need to address. Although reinforcement learning from human feedback (RLHF) can adjust the model’s output for errors, it is not efficient or … Read more

Do RNN and LSTM Have Long-Term Memory?

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Do RNN and LSTM Have Long-Term Memory?

This article introduces the ICML 2020 paper “Do RNN and LSTM have Long Memory?“. The authors of the paper are from Huawei Noah’s Ark Lab and the University of Hong Kong.. Author | Noah’s Ark Lab Editor | Cong Mo Paper link: https://arxiv.org/abs/2006.03860 1 Introduction To overcome the difficulties of Recurrent Neural Networks (RNNs) in … Read more