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AI Literacy: Introduction to GenAI

AI and Generative AI

What is AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. 

What is Generative AI

Generative AI is…

  • a subset of artificial intelligence (AI) that focuses on creating new data
  • It involves algorithms that generate new content, such as text, images, or music, based on patterns and examples in the data they were trained on. 

How does Generative AI work

GenAI learns from data collected from sources like webpages and social media conversations. By analyzing the patterns in this data, such as common word sequences, GenAI can generate new content that mimics human thinking. 

Generative AI Can ✔️...

📑Generate Text:
create human-like text responses, write articles, and assist in content creation

🖼Create Images:
can generate realistic images based on textual prompts or existing data

🎵Produce Music:
can compose music, create melodies, and generate new musical pieces

💡Assist in Creative Tasks:
can aid in brainstorming, idea generation, and artistic endeavors by providing novel outputs

⚙️Enhance Productivity:
can automate tasks, streamline workflows, and improve efficiency in various industries

Generative AI Cannot ✖️...

  • Understand Real-World Context:
    cannot truly comprehend the world, leading to inaccuracies and limitations in generating contextually relevant content
  • Provide Original Ideas:
    can only produce content based on existing data, it cannot generate truly innovative or groundbreaking ideas
  • Ensure Accuracy:
    outputs may contain errors, inaccuracies, or biases, requiring human oversight and verification
  • Replace Human Creativity:
    cannot fully replicate the depth and complexity of human creative processes
  • Guarantee Ethical Decision-Making:
    not always adhere to ethical standards or societal norms, necessitating ethical considerations and guidelines in its deployment

     

Reference: UNESCO - Guidance for generative AI in education and research 

Artificial Intelligence (AI) Terms

Chatbot
A chatbot is a software application that is designed to imitate human conversation through text or voice commands.

by Coursera

Deep learning
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.

by Coursera

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

by Coursera

Large language model
A large language model (LLM) is an AI model that has been trained on large amounts of text so that it can understand language and generate human-like text.

by Coursera

Machine learning
Machine learning is a subset of AI that incorporates aspects of computer science, mathematics, and coding. Machine learning focuses on developing algorithms and models that help machines learn from data and predict trends and behaviors, without human assistance.

by Coursera

Natural language processing
Natural language processing (NLP) is a type of AI that enables computers to understand spoken and written human language. NLP enables features like text and speech recognition on devices.

by Coursera

Neural network
A neural network is a deep learning technique designed to resemble the human brain’s structure. Neural networks require large data sets to perform calculations and create outputs, which enables features like speech and vision recognition.

by Coursera

Prompt
A prompt is an input that a user feeds to an AI system in order to get a desired result or output.

by Coursera

Token
A token is a basic unit of text that an LLM uses to understand and generate language. A token may be an entire word or parts of a word.

by Coursera

Training data
Training data is the information or examples given to an AI system to enable it to learn, find patterns, and create new content.

by Coursera

Related eBooks

Artificial Intelligence Technology
Mission AI The New System Technology
Augmented Education in the Global Age : Artificial Intelligence and the Future of Learning and Work

Related Printed Books

ChatGPT 領軍 : DALL-E 2+Midjourney+D-ID+Synthesia : 邁向AI文字、圖像、影片之路
ChatGPT應用手冊
未來的錯覺 : 人類如何與AI共處
AI for educators : learning strategies, teacher efficiencies, and a vision for an artificial intelligence future
 The art of prompt engineering with ChatGPT : a hands on guide
ChatGPT for educators : leveraging the power of AI in the education process (maximizing learning outcomes)