The Atlas
How AI concepts connect. Each concept builds on the ones before it.
- Machine Learning (ML) builds on Artificial Intelligence (AI)
- Model builds on Machine Learning (ML)
- Training Data builds on Machine Learning (ML)
- Training builds on Machine Learning (ML)
- Inference builds on Model
- Parameters builds on Model
- Neural Network builds on Machine Learning (ML)
- Deep Learning builds on Neural Network
- Overfitting builds on Training
- Generative AI builds on Artificial Intelligence (AI)
- Large Language Model (LLM) builds on Neural Network, Generative AI
- Token builds on Large Language Model (LLM)
- Context Window builds on Token
- Temperature builds on Large Language Model (LLM)
- Prompt builds on Large Language Model (LLM)
- Prompt Engineering builds on Prompt
- Hallucination builds on Large Language Model (LLM)
- Transformer builds on Deep Learning
- Attention builds on Transformer
- Multimodal builds on Generative AI
- Diffusion Model builds on Generative AI
- Embedding builds on Token
- Vector Database builds on Embedding
- Retrieval-Augmented Generation (RAG) builds on Embedding, Context Window
- Fine-Tuning builds on Training
- AI Agent builds on Tool Use
- Tool Use builds on Large Language Model (LLM)
- AI Bias builds on Training Data
- Alignment builds on Large Language Model (LLM)
- Deepfake builds on Generative AI
- Responsible AI builds on Artificial Intelligence (AI)