Types of Artificial Intelligence
Artificial Intelligence (AI) can be categorized into different types based on its capabilities and scope. Understanding these types helps differentiate how AI can be applied in domains like MLOps to streamline workflows, enhance efficiency, and enable smarter decision-making.
1. Narrow Intelligence (NI)
Narrow Intelligence is the most common type of AI and is designed to perform a specific tasks efficiently.
For example, Voice assistants like Siri or Amazon's Alexa, perform tasks like setting remainders, giving weather reports, or answering certain questions.
Even OpenAI's ChatGPT, comes under Narrow AI because it is limited to single task of text-based question-answering chat.
2. General Intelligence (GI)
General AI is capable of understanding, learning, and performing tasks across a wide range of domains, similar to human intelligence. AGI remains theoretical and would involve systems capable of general learning, reasoning, and adaptability which current AI systems do not possess.
For example, voice assistant like Siri, Google Assistant or Alexa, they fall under ANI not AGI, because they cannot perform tasks outside their scopes such as fixing your cat or solving unrelated complex problems.
Even OpenAI's ChatGPT is designed for natural language processing. It can generate contextually relevant responses but lacks understanding of consciousness.
Also self-driving cars like those from Tesla's Autopilot are also ANI but not AGI because it is mostly concerned with driving tasks.
3. Super Intelligence (SI)
The final level of AI is super intelligence, refers to a future scenario where AI surpasses human intelligence in nearly all economically valuable work.