Paper2021
CLIP: Contrastive Language-Image Pre-training
Radford et al.
Learning visual concepts from natural language supervision
Foundation models
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Concept2020
Diffusion Models
Ho, Jain & Abbeel
Generative models that learn to denoise, enabling high-quality image and video synthesis
Concept2020
In-Context Learning
Brown et al.
How large language models learn from examples in the prompt without weight updates
Concept2017
RLHF: Reinforcement Learning from Human Feedback
Christiano et al.
Teaching language models to prefer responses that people rank higher