Generativeverything is a repository that serves as a project and roadmap for understanding & building Generative Artificial Intelligence. The repository is designed to provide a comprehensive resource for researchers, developers, and enthusiasts who are interested in Generative AI. This repository includes code, resources, and notes that cover the most important topics in the field of Generative AI.
This section covers the fundamental concepts that are essential for understanding Generative AI.
- Transformers
- Vision Transformers
- Diffusion Models
This section focuses on the latest advancements in Generative AI related to vision.
- DALLE 2
- Stable Diffusion
This section focuses on Generative AI models that are designed for natural language processing (NLP).
This section covers RL techniques used to train Generative AI models.
This section covers techniques for enhancing models (LLMs) with the ability to plan & solve a given task recursively.
Techniques for aligning AI models.
Useful readings that don't fall into aforementioned topics.