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…
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.
Source: Guidance for generative AI in education and research – licensed under [CC BY SA].
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 ✖️...
Reference: UNESCO - Guidance for generative AI in education and research
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
