Understanding

Artificial
Intelligence

A simplified overview of its components and uses

(Aug 2024)

With so many tech terms floating around in the world of artificial intelligence, it can all be really confusing.

What is Machine Learning? How does Deep Learning fit in? And what about Generative AI?

What is
Intelligence?

What is
Intelligence?

What is
Intelligence?

What is
Intelligence?

Let’s begin by defining intelligence.

While it can mean many things, we often think of it as the ability to learn, understand, and reason. In the context of AI, we aim to replicate these abilities in machines.

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence (AI) is the field that aims to create computer systems capable of performing tasks that historically required human intelligence.

The goal of AI is to simulate or even exceed human intelligence using technology.

AI involves developing algorithms and systems that can perceive, reason, and make decisions like humans do. It includes various techniques such as machine learning, deep learning, and natural language processing, which enable computers to perform tasks like recognising speech, making decisions, and identifying patterns, which were previously only possible for humans.

Machine
Learning

Machine
Learning

Machine
Learning

Machine
Learning

Machine Learning is exactly what is sounds like.
The machines learning from machines

It’s a subset of AI where computers learn from data without being explicitly programmed.
It involves using algorithms to analyse patterns in data, allowing the computer to make predictions or decisions based on new information.

For instance, it can spot unusual behaviour in cybersecurity, helping to identify potential threats based on user activity.

Where is it used?

01

Predictive Analytics

Financial institutions use ML models to predict the likelihood of a loan by analyzing past customer behavior and transaction data

01

Predictive Analytics

Financial institutions use ML models to predict the likelihood of a loan by analyzing past customer behavior and transaction data

01

Predictive Analytics

Financial institutions use ML models to predict the likelihood of a loan by analyzing past customer behavior and transaction data

01

Predictive Analytics

Financial institutions use ML models to predict the likelihood of a loan by analyzing past customer behavior and transaction data

02

Medical Diagnosis

Deep learning assists in analysing medical images, helping doctors detect conditions like tumours or fractures

02

Medical Diagnosis

Deep learning assists in analysing medical images, helping doctors detect conditions like tumours or fractures

02

Medical Diagnosis

Deep learning assists in analysing medical images, helping doctors detect conditions like tumours or fractures

02

Medical Diagnosis

Deep learning assists in analysing medical images, helping doctors detect conditions like tumours or fractures

03

Recommendation Systems

ML analyses user data to provide personalised suggestions for movies and products like what we see in Netflix and Amazon

03

Recommendation Systems

ML analyses user data to provide personalised suggestions for movies and products like what we see in Netflix and Amazon

03

Recommendation Systems

ML analyses user data to provide personalised suggestions for movies and products like what we see in Netflix and Amazon

03

Recommendation Systems

ML analyses user data to provide personalised suggestions for movies and products like what we see in Netflix and Amazon

Deep
Learning

Deep
Learning

Deep
Learning

Deep
Learning

Deep Learning is a more advanced type of machine learning that uses neural networks, which are designed to mimic how the human brain works. These networks have multiple layers, allowing them to process information in complex ways.

However, like human brains, deep learning can be unpredictable, and sometimes we can't fully understand how the machine arrives at its conclusions.

Deep Learning has led to significant advancements in areas like image recognition, natural language processing, and speech recognition.

Where is it used?

01

Image Recognition

ML algorithms identify objects in images, used in facial recognition, photo tagging, and medical diagnosis

01

Image Recognition

ML algorithms identify objects in images, used in facial recognition, photo tagging, and medical diagnosis

01

Image Recognition

ML algorithms identify objects in images, used in facial recognition, photo tagging, and medical diagnosis

01

Image Recognition

ML algorithms identify objects in images, used in facial recognition, photo tagging, and medical diagnosis

02

Speech Recognition

ML enables converting speech to text, powering virtual assistants for voice commands and smart home control.

02

Speech Recognition

ML enables converting speech to text, powering virtual assistants for voice commands and smart home control.

02

Speech Recognition

ML enables converting speech to text, powering virtual assistants for voice commands and smart home control.

02

Speech Recognition

ML enables converting speech to text, powering virtual assistants for voice commands and smart home control.

03

Autonomous Vehicles

Self-driving cars use deep learning to recognise road signs, pedestrians, and other vehicles, allowing them to navigate safely

03

Autonomous Vehicles

Self-driving cars use deep learning to recognise road signs, pedestrians, and other vehicles, allowing them to navigate safely

03

Autonomous Vehicles

Self-driving cars use deep learning to recognise road signs, pedestrians, and other vehicles, allowing them to navigate safely

03

Autonomous Vehicles

Self-driving cars use deep learning to recognise road signs, pedestrians, and other vehicles, allowing them to navigate safely

Generative AI

Generative AI

Generative AI

Generative AI

Generative AI is an innovative technology that empowers computers to generate original content including text, images, and even music. It has become one of the most exciting and talked-about areas in the field of artificial intelligence at the present time.

What are foundation models?

A big part of Generative AI is something called "foundation models." One example is a large language model (LLM). These models learn from lots of information and can predict what comes next based on what they’ve learned.

How does it work?

Just like when you start typing a message on your phone and it tries to guess the next word you want to write. That’s similar to how these models work!

Instead of guessing just one word, large language models can predict entire sentences, paragraphs, or even whole documents. They can also create audio and visual content, making them super powerful.

Where is it used?

01

ChatGPT

Developed by OpenAI, ChatGPT is a conversational AI that generates human-like text based on user prompts. It is widely used for tasks such as customer support, content creation, and language translation

01

ChatGPT

Developed by OpenAI, ChatGPT is a conversational AI that generates human-like text based on user prompts. It is widely used for tasks such as customer support, content creation, and language translation

01

ChatGPT

Developed by OpenAI, ChatGPT is a conversational AI that generates human-like text based on user prompts. It is widely used for tasks such as customer support, content creation, and language translation

01

ChatGPT

Developed by OpenAI, ChatGPT is a conversational AI that generates human-like text based on user prompts. It is widely used for tasks such as customer support, content creation, and language translation

02

Midjourney

This AI tool specialises in generating high-quality images from text prompts. It is popular among artists and designers for creating visually stunning artwork and illustrations based on user-defined concepts

02

Midjourney

This AI tool specialises in generating high-quality images from text prompts. It is popular among artists and designers for creating visually stunning artwork and illustrations based on user-defined concepts

02

Midjourney

This AI tool specialises in generating high-quality images from text prompts. It is popular among artists and designers for creating visually stunning artwork and illustrations based on user-defined concepts

02

Midjourney

This AI tool specialises in generating high-quality images from text prompts. It is popular among artists and designers for creating visually stunning artwork and illustrations based on user-defined concepts

03

Runway ML

Runway ML provides tools for creators to generate videos, images, and audio using AI. It allows users to create content with advanced features like video editing and real-time collaboration, making it accessible for filmmakers and artists

03

Runway ML

Runway ML provides tools for creators to generate videos, images, and audio using AI. It allows users to create content with advanced features like video editing and real-time collaboration, making it accessible for filmmakers and artists

03

Runway ML

Runway ML provides tools for creators to generate videos, images, and audio using AI. It allows users to create content with advanced features like video editing and real-time collaboration, making it accessible for filmmakers and artists

03

Runway ML

Runway ML provides tools for creators to generate videos, images, and audio using AI. It allows users to create content with advanced features like video editing and real-time collaboration, making it accessible for filmmakers and artists

The hierarchy
of AI capabilities

AI

DL

GEN

AI

DL

GEN

AI

DL

GEN

As this technology continues to advance,
it will open up even more amazing possibilities in the future.

Its happening….embrace it
As this technology continues to advance, it will open up even more amazing possibilities in the future.

Its happening….embrace it