CLIP: Contrastive Language-Image Pre-training
Learning visual concepts from natural language supervision
Diffusion Models
Generative models that learn to denoise, enabling high-quality image and video synthesis
In-Context Learning
How large language models learn from examples in the prompt without weight updates
Pre-training
The stage where a model learns broad patterns from a very large dataset
RLHF: Reinforcement Learning from Human Feedback
Teaching language models to prefer responses that people rank higher