AI Reading List (by Ilya Sutskever) - Part 2
In this video, we continue the reading list series with the next 6 items that Ilya Sutskever, former OpenAI chief scientist, gave to John Carmack. Ilya followed by saying that "If you really learn all of these, you’ll know 90% of what matters today".
References
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AI Reading List - Part 1: • AI Reading List (by Ilya Sutskever) -...
Why Residual Connections (ResNet) Work: • Why Residual Connections (ResNet) Work
Reading List
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Keeping Neural Networks Simple by Minimizing the Description Length of the Weights: https://www.cs.toronto.edu/~hinton/ab...
Pointer Networks: https://arxiv.org/pdf/1506.03134
ImageNet Classification with Deep Convolutional Neural Networks: https://proceedings.neurips.cc/paper_...
Order Matters: Sequence to Sequence for Sets: https://arxiv.org/pdf/1511.06391
GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism: https://arxiv.org/pdf/1811.06965
Deep Residual Learning for Image Recognition: https://arxiv.org/pdf/1512.03385
Related Videos
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Why Language Models Hallucinate: • Why Language Models Hallucinate
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits: • The Era of 1-bit LLMs: All Large Lang...
Contents
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00:00 - Intro
00:23 - Item 1: Keeping Neural Networks Simple
00:58 - Item 2: Pointer Networks
01:45 - Item 3: ImageNet Classification with CNNs
02:30 - Item 4: Sequence to Sequence for Sets
03:11 - Item 5: GPipe
04:02 - Item 6: ResNets
04:43 - Outro
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