AI Glossary
Key terms and concepts in artificial intelligence
| Term | Definition |
|---|---|
| Generative AI | AI systems that can create new content (text, images, audio, etc.) based on training data and prompts. |
| Machine Learning | A subset of AI focused on algorithms that improve through experience. |
| Deep Learning | A type of machine learning using neural networks with multiple layers. |
| Natural Language Processing (NLP) | AI field concerned with the interaction between computers and human language. |
| Computer Vision | AI field that trains computers to interpret and understand visual information. |
| Reinforcement Learning | Machine learning method based on rewarding desired behaviors and punishing undesired ones. |
| Neural Network | A computing system inspired by biological neural networks, forming the basis of many AI models. |
| AGI (Artificial General Intelligence) | AI systems capable of matching human intelligence in both cognitive tasks (reasoning, learning) and physical interactions (sensorimotor skills, environmental manipulation). |
| ASI (Artificial Super Intelligence) | AI systems that surpass human intelligence across all domains, including both cognitive abilities and physical world interactions, with capabilities beyond human comprehension. |
| SOTA (State-of-the-Art) | The best performing model or system in a specific domain or task. SOTA models set new records on recognized benchmarks. |
| BYOK | Bring Your Own Key |