Top 5 Key Terms of AI You Should Know: Quick Guide

August Series Part 1

Have you ever wondered how your phone knows what you want to say before you type it? Or how Netflix always seems to recommend the perfect show? That is the power of artificial intelligence in daily life and it is everywhere. But to really understand how it works, you need to get familiar with a few basic terms.

Let us discuss the top 5 key terms of AI that you should know, when using in daily life. If you are simply curious or want to learn more about this rapidly emerging industry, these are the blocks you cannot bypass.

Top 5 key terms of AI

1. Algorithm
2. ChatBot
3. Machine Learning
4. Fine Tuning
5. Generative AI

What is an Algorithm?

An algorithm is a recipe, but for a computer. It is a series of steps that a computer takes to accomplish something or resolve an issue.F

Ever wondered how your shopping app posts items you may be interested in before you even search? That is an algorithm doing its thing. It scans what you’ve clicked on previously or purchased and uses that information to project what you will want next. When we discuss terminology surrounding artificial intelligence, algorithms are at the root. They’re behind nearly every AI choice.

Have You Spoken to a Bot Recently?

If you have ever contacted a business through their website and received a quick, useful response there is a good chance, you were not communicating with an individual. You were communicating with a chatbot.

A chatbot is an artificial intelligence application that interprets your questions and answers you in a human-like fashion. Some are basic and scripted, whereas others, such as ChatGPT, can have sophisticated conversations and even tell jokes. Chatbots are becoming an increasing component of customer care, medicine, and even education. Soon enough, you may not even realize you are communicating with a machine.

What Is Machine Learning, Really?

You may have heard the term machine learning (ML), but what does it really do?

Machine learning is when a computer learns to perform a task better by utilizing data. Contrary to regular programming, in which people instruct the computer to do something in particular, ML allows the computer to discover patterns and make decisions by itself.

Consider your email spam filter. It improves through the messages you identify as spam and over time becomes increasingly effective at filtering them out before they reach your inbox. That is machine learning at work and one of the most potent artificial intelligence tools we employ nowadays.

Why Fine-Tuning Is Important?

Ever wondered how AI becomes so adept at performing particular tasks such as responding to queries regarding your bank account or assisting you in composing emails?

That’s where fine-tuning comes in. Fine-tuning is when developers take an already pre-trained AI model and instruct it to perform something extremely specific by training it using a smaller, focused dataset.

For instance, a general chatbot can discuss anything, but a specialized one may only discuss real estate or law. This goes through a process that makes AI more precise, effective, and beneficial for specific industries or consumers.

Can AI Be Creative and Generative?

Yes, it is possible and that is due to generative AI. This is one of the most thrilling advancements in the world of AI.

Generative AI does not only look at information it generates new material. That encompasses writing blog articles, creating graphics, creating music, and even creating software code.

The top 5 examples of artificial intelligence tools are:

1. ChatGPT – Developed by OpenAI, it can generate human-like text, answer questions, write essays, and more.
2. Gemini – Google’s AI (formerly Bard), capable of text generation and multimodal tasks.
3. Copilot – Developed by GitHub and powered by OpenAI, this tool helps developers by generating code and suggesting programming solutions.
4. Claude – Developed by Anthropic, it’s designed to be a helpful and safe conversational AI assistant.
5. DeepSeek AI – A newer entrant focused on code generation and reasoning, offering capabilities similar to other advanced language models.

Whether assisting advertisers to develop improved advertising or allowing artists to create new ideas, generative AI is revolutionizing the way we look at creativity and technology.

So, What is Next?

Since you now know these five fundamental terms related to artificial intelligence algorithm, chatbot, machine learning, fine-tuning, and generative AI you have established a good base to comprehend the AI tools that are transforming our world.

AI is not longer a technology trend it is now part of our daily lives. And the more you know about it, the more you will be enabled to use it, discuss it, or even create with it.