recurrent_neural_network
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recurrent_neural_network [2022/06/15 02:27] burkov [Recommended Reading] |
recurrent_neural_network [2024/03/30 20:10] (current) burkov [Recommended Reading] |
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| * [[https://arxiv.org/abs/1701.03452|Simplified Minimal Gated Unit Variations for Recurrent Neural Networks]] by Joel Heck and Fathi Salem (2017) | * [[https://arxiv.org/abs/1701.03452|Simplified Minimal Gated Unit Variations for Recurrent Neural Networks]] by Joel Heck and Fathi Salem (2017) | ||
| * [[https://arxiv.org/abs/1706.03762|Attention Is All You Need]] by Vaswani et al. (2017), a state-of-the-art sequence-to-sequence model, plus an [[http://jalammar.github.io/illustrated-transformer/|illustrated guide]] plus an [[http://nlp.seas.harvard.edu/annotated-transformer/|annotated paper with code]]. | * [[https://arxiv.org/abs/1706.03762|Attention Is All You Need]] by Vaswani et al. (2017), a state-of-the-art sequence-to-sequence model, plus an [[http://jalammar.github.io/illustrated-transformer/|illustrated guide]] plus an [[http://nlp.seas.harvard.edu/annotated-transformer/|annotated paper with code]]. | ||
| - | + | * [[https://arxiv.org/abs/2203.15556|Training Compute-Optimal Large Language Models]] by Hoffmann et al. (2022), (the Chinchilla paper). | |
| + | * [[https://sebastianraschka.com/blog/2023/llm-reading-list.html|Understanding Large Language Models]] by Sebastian Raschka. | ||
| + | * [[https://thegradient.pub/mamba-explained/|Mamba Explained]] by Kola Ayonrinde. | ||
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