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Generative AI

How AI Works

Artificial intelligence (AI) is the ability of a digital computer or a computer-controlled robot to perform tasks commonly associated with intelligent beings, in other words, using algorithms to imitate intelligent human behavior.

Generative artificial intelligence can generate new content (such as images or text) in response to a submitted prompt by learning from a large reference database of examples. 

To better understand generative AI, the graphic below displays how technology builds from each AI subcategory.

Large Language Model

A large language model is a type of machine learning algorithm that can perform a variety of natural language processing tasks such as generating and classifying text, answering questions in a conversational manner, and translating text from one language to another. This is accomplished by using extremely large data sets of existing language as a building block to generate new information.

AI Everyday

Artificial Intelligence (AI) has already been in use in various sectors for decades. Today, AI is extensively integrated into numerous fields such as customer service, healthcare, finance, and manufacturing. Key applications include natural language processing, predictive analytics, machine learning, and autonomous systems. AI significantly enhances operational efficiency and decision-making processes. Below are some commonly used sources of AI that you may be familiar with:

  • Virtual voice assistants like Siri or Alexa
  • Chatbots
  • Personalized marketing
  • Facial recognition technologies
  • Email filtering
  • Social media algorithms
  • Smart input keyboards (texting)
  • Weather prediction 
  • Speech recognition translation
  • Personalized content recommendations on streaming platforms
  • Navigation apps that suggest the best routes based on real-time traffic data
  • Self-driving vehicles
  • Fraud detection systems in banking
  • Security and surveillance