#foundation-models
5 articles
- 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