Artificial Intelligence: Home

AI stands for artificial intelligence, which is the simulation of human intelligence processes by machines or computer systems. AI can mimic human capabilities such as communication, learning, and decision-making.

AI ethics refers to the issues that AI stakeholders, such as engineers and government officials, must consider to ensure the technology is developed and used responsibly. This means adopting and implementing systems that support a safe, secure, unbiased, and environmentally friendly approach to artificial intelligence.

Deep learning is a function of AI that imitates the human brain by learning from how it structures and processes information to make decisions. Instead of relying on an algorithm that can only perform one specific task, this subset of machine learning can learn from unstructured data without supervision.

Hallucination refers to an incorrect response from an AI system or false information in an output presented as factual information.

A large language model (LLM) is an AI model trained on large amounts of text to understand language and generate human-like text.

Machine Learning is about teaching computers to learn from data. Instead of telling them what to do step by step, we give them examples to learn from so they can figure things out themselves.