AI for Beginners: Understanding AI Terminology

We live in a world surrounded by Artificial Intelligence at every step. For many years, little has changed in this…

Generis author
Generis
4 mins

AI for Beginners: Understanding AI Terminology

We live in a world surrounded by Artificial Intelligence at every step. For many years, little has changed in this field, but the moment ChatGPT was revealed to the world, there was an incredible technological development around AI.

The world has been flooded with a wave of new terms and concepts, and the average person has trouble keeping up with it all!

When I asked ChatGPT to show me the AI concepts on a diagram so I could understand it, it generated me the image below – not really useful…

“Hey ChatGPT, can you create a diagram describing basic AI concepts and relations between them?”

So, I decided to explain a few of the most important concepts and the relationships between them using simple language.

Artificial Intelligence (AI)

Think of AI as smart robots or computer programs that can think and learn like humans. It’s like teaching a computer to be smart enough to solve problems on its own.

Machine Learning

This is a special way of teaching computers to learn from data. It’s like learning to recognize cats by looking at many pictures of cats and not-cats. Machine Learning enables computers to learn from lots of examples (data) to make decisions or predictions.

Deep Learning

A part of Machine Learning but more complex, deep learning is like having an extremely detailed brain model in a computer, allowing it to learn and recognize patterns from data even better.

Natural Language Processing (NLP)

This involves teaching computers to understand and respond to human language. So, when you talk to Siri, Alexa, or more recently, ChatGPT or Bard, they use NLP to understand and reply to you.

LLM (Large Language Model)

Imagine a giant, super-smart robot that has read almost every book, website, and article out there. Now, because it’s read so much, it’s really good at understanding and using language — that’s what a Large Language Model (LLM) is. It’s a type of AI that can write essays, solve problems, or even make jokes, using what it has learned from all that reading.

RL (Reinforcement Learning)

Think about training a pet. When your pet does something good, you give it a treat, and if it does something bad, it gets no treat. Over time, your pet learns to do more of the good stuff to get more treats. Reinforcement Learning for computers is similar. A computer program learns to make decisions by trying different things and getting rewards or no rewards. It’s like a game where the computer learns the best moves to win the most points.

Generative AI

Generative AI is like a creative artist inside a computer. Just like an artist can create new paintings or compose music, Generative AI creates new things after learning from many examples. So if you show it thousands of pictures of dogs, it can draw a completely new picture of a dog that doesn’t exist. Or if you show it many songs, it can compose a brand-new song all by itself. It’s like having a robot friend that’s excellent at creating cool, new stuff!

GPT and BERT

Both ChatGPT and Bard are based on a technology called transformers, a type of neural network that’s really good at handling sequences of data, like sentences in a paragraph.

ChatGPT by OpenAI uses GPT, and Bard by Google uses BERT. Both GPT and BERT are designed to understand human language, which means they can process and interpret the words we use every day. They are both pre-trained on vast amounts of text before being used for specific tasks, which helps them better understand language.

So, what do they have in common, and what’s different?

GPT (Generative Pre-trained Transformer)

Imagine you have a friend who’s really good at writing stories or finishing your sentences in a fun way—that’s GPT. It’s a computer program that can chat, answer questions, and help with homework by understanding and using language in a way that seems pretty human.

BERT (Bidirectional Encoder Representations from Transformers)

Now, imagine another friend who is great at filling in the blanks in sentences because they understand the entire context, not just part of it. That’s BERT! It’s a program that helps computers understand what words in a sentence mean based on the words around them, which is very helpful when you’re searching for something on Google or when a computer is trying to figure out what you mean.

Computer Vision

This is about teaching computers to see and understand images and videos. It’s like giving computers eyes and the ability to recognize what’s in a picture.

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