nips

Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017).

ad17e76a8baad7a1 · 3 sources · 100% confidence

Reinforcement Learning from Human Feedback (RLHF) introduced in paper: Deep Reinforcement Learning from Human Preferences (Christiano et al., 2017).

67866330cd60e54d · 3 sources · 100% confidence

Retrieval-Augmented Generation (RAG) introduced in paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Lewis et al., 2020).

d15057ced937a103 · 2 sources · 100% confidence

Direct Preference Optimization (DPO) introduced in paper: Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Rafailov et al., 2023).

a3e691683a4577af · 2 sources · 100% confidence

Chinchilla scaling laws introduced in paper: Training Compute-Optimal Large Language Models (Hoffmann et al., 2022).

8befcae6bce01a95 · 2 sources · 100% confidence

Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022).

3af924da138ff84c · 2 sources · 100% confidence

AlexNet introduced in paper: ImageNet Classification with Deep Convolutional Neural Networks (Krizhevsky, Sutskever, Hinton, 2012).

98b6e774be89d967 · 2 sources · 100% confidence

Generative Adversarial Networks (GANs) introduced in paper: Generative Adversarial Networks (Goodfellow et al., 2014).

5b0c0612bd9e55b0 · 2 sources · 100% confidence

Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020).

e700f81fff6f38c7 · 2 sources · 100% confidence

GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020).

7d3e6a39b1656571 · 2 sources · 100% confidence