Monday, December 25, 2023

What is AI? A Quick-Start Guide

What is AI?:

  • AI is a subfield of computer science focused on creating intelligent agents capable of human-level tasks such as problem-solving and decision-making.
  • AI employs rule-based approaches and machine learning algorithms for adaptability and versatility.

Types of AI:

  • Narrow AI is designed for specific tasks, while General AI and Super AI are theoretical and advanced concepts.
  • AI can also be categorized based on functionality, including Reactive Machines, Limited Memory AI, Theory of Mind, and Self-Awareness.

AI Applications:

  • AI is integrated into everyday technologies like Google Maps and digital assistants, utilizing Narrow AI.
  • Businesses apply AI in healthcare, finance, retail, and customer service, enhancing efficiency and productivity.
  • AI is revolutionizing gaming and entertainment through NPC control in video games, creative facilitation in music and film, and content recommendations in streaming platforms.

AI in Public Services:

  • Government agencies use AI for traffic management, emergency response, and infrastructure optimization to improve public services.
  • AI algorithms analyze real-time traffic data, predict natural disasters, and optimize evacuation routes.

Understanding AI:

  • AI involves steps to make a system function, including understanding the AI fundamentals, ChatGPT, large language models, and generative AI.

AI Glossary:

  • AI terms and meanings include Algorithm, Artificial General Intelligence, Deep Learning, Machine Learning, Natural Language Processing, and Neural Network.

Common Misconceptions about AI:

    • AI is not limited to robotics; it encompasses various technologies like search algorithms and natural language processing.
    • Artificial General Intelligence (AGI) is still theoretical and far from realization. Superintelligence also remains largely speculative.
    • AI processes data based on patterns but lacks comprehension in the human sense.
    • AI can inherit biases from its training data or designers and is not inherently unbiased.
    • While AI can automate specific tasks, it cannot replace jobs that require emotional intelligence, creativity, and other human-specific skills.

How Does AI Work?:

  • Understanding the essence of AI involves actionable knowledge on popular AI topics, such as ChatGPT, large language models, and generative AI.


  • Gathering data is the initial step of any AI project and involves collecting various types of raw material such as pictures and text.
  • Data serves as the source from which the AI system will learn.


  • After collecting the data, it needs to be prepared and cleaned by removing irrelevant information and converting it into a format understandable by the AI system.
  • This step is crucial for the AI system to process the data effectively.


  • Selecting an appropriate algorithm is essential as it determines how the AI system will process the data.
  • Different tasks require different algorithms; for example, image recognition and natural language processing may use distinct algorithms.


  • After preparing the data, it is fed into the chosen algorithm to train the AI model.
  • During this phase, the model learns to make predictions based on the data.