# Generative AI

## Generative AI

- [Outline](https://lichangbin.gitbook.io/generative-models/outline.md)
- [Variational Autoencoder (VAE)](https://lichangbin.gitbook.io/generative-models/variational-autoencoder-vae.md)
- [Diffusion Model](https://lichangbin.gitbook.io/generative-models/diffusion-model.md)
- [Diffusion Model](https://lichangbin.gitbook.io/generative-models/diffusion-model/diffusion-model.md): Denoising Diffusion Probabilistic Model (https://arxiv.org/pdf/2006.11239.pdf)
- [Latent Diffusion Model](https://lichangbin.gitbook.io/generative-models/diffusion-model/latent-diffusion-model.md)
- [Transformer](https://lichangbin.gitbook.io/generative-models/transformer.md)
- [Attention](https://lichangbin.gitbook.io/generative-models/transformer/attention.md)
- [Transformer](https://lichangbin.gitbook.io/generative-models/transformer/transformer.md)
- [Switch Transformer](https://lichangbin.gitbook.io/generative-models/transformer/switch-transformer.md)
- [LLM](https://lichangbin.gitbook.io/generative-models/llm.md)
- [Introduction](https://lichangbin.gitbook.io/generative-models/llm/introduction.md)
- [Fine-tuning LLMs](https://lichangbin.gitbook.io/generative-models/llm/fine-tuning-llms.md)
- [Reinforcement Learning from Human Feedback (RLHF)](https://lichangbin.gitbook.io/generative-models/llm/reinforcement-learning-from-human-feedback-rlhf.md)
- [LLM-powered applications](https://lichangbin.gitbook.io/generative-models/llm/llm-powered-applications.md)
- [Multi-modal Foundation Model](https://lichangbin.gitbook.io/generative-models/multi-modal-foundation-model.md)
- [CLIP](https://lichangbin.gitbook.io/generative-models/multi-modal-foundation-model/clip.md)