Artificial Intelligence

Types of Artificial Intelligence

Narrow AI: This form of AI is designed to perform a specific task. Examples include voice assistants, recommender systems, and facial recognition algorithms. These systems do not have true general understanding or intelligence, but are very effective in their specific field.

General AI: General AI refers to systems that possess the ability to understand, learn, and apply knowledge similarly to a human. This form of AI can perform any intellectual task that a human can. However, we are still far from achieving true general AI.

Some of the main components of AI

Machine Learning: one of the most important subcategories of AI. It uses algorithms that allow machines to learn from data. There are several types of machine learning, including supervised, unsupervised, and reinforced learning. Algorithms analyze large amounts of data, identify patterns and improve their performance without being explicitly programmed to do so.

Neural Networks and Deep Learning: artificial neural networks are inspired by the structure of the human brain and are composed of layers of nodes (neurons) that process data. Deep learning is a branch of machine learning that uses deep neural networks (with many layers) to analyze complex data. This technology is the basis of many modern applications such as image recognition and machine translation.

Natural Language Processing (NLP): base on Large Language Model (LLM), it deals with the interaction between computers and human language. NLP algorithms allow computers to interpret and respond to human speech naturally. Examples include chatbots and machine translation systems.