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The papers that got us here

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The papers that got us here

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10 landmark papers that shaped today's AI industry — from Turing to RLHF.

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The papers that got us here — 10 items
Name	Comment
1Computing Machinery and Intelligence	Asked 'can machines think?' and proposed the Imitation Game — the philosophical starting gun for the whole field.
2Learning Representations by Back-propagating Errors	Popularized backpropagation, the training algorithm every neural network still relies on today.
3Long Short-Term Memory	Solved the vanishing gradient problem for sequences — powered speech recognition and translation for two decades.
4ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)	The GPU-trained CNN that crushed ImageNet and ignited the modern deep learning boom.
5Generative Adversarial Networks	Two networks competing to generate realistic data — kicked off the generative AI wave years before diffusion models.
6Attention Is All You Need	Introduced the Transformer. Virtually every frontier model today — GPT, Claude, Gemini, Llama — is built on it.
7BERT: Pre-training of Deep Bidirectional Transformers	Made pretrain-then-finetune the standard recipe for NLP and showed transfer learning works for language.
8Language Models are Few-Shot Learners (GPT-3)	Proved that sheer scale produces in-context learning — you prompt the model instead of retraining it.
9Scaling Laws for Neural Language Models	Showed performance improves predictably with compute, data and parameters — the investment thesis behind today's AI industry.
10Training Language Models to Follow Instructions (InstructGPT)	RLHF turned raw language models into helpful assistants — the blueprint that made ChatGPT-style products possible.