AI Made Easy: The top 11 AI terms every business owner must know
Gen AI and AI are accelerating at lightning speed. While much of it may seem complex, at the core, it's all about teaching computers to be clever. Here are some easy explanations to help understand the basics.
Top AI Terms to Know
AI (Artificial Intelligence): teaching computers to be smart, through things like data, patterns, and experiences. Computers learn to think and make decisions like us.
Machine Learning: a specific way within AI to teach computers, by showing them lots of examples and letting them learn from those examples. It's like a technique used to make computers smarter and more capable of making predictions and decisions.
Deep Learning: a special part of machine learning that makes computers really good at understanding and recognizing things in pictures, sounds, and text. It's as if we teach computers to think by connecting tiny pieces to solve big puzzles, much like how our brain works with its many neurons. This helps computers do things like recognizing faces in photos or understanding spoken words, and learn from lots of tiny pieces, so they can handle big tasks.
Neural Networks: These tiny pieces in deep learning are like the computer's brains – they help it understand and remember things. They’re like the building blocks of deep learning, where computers learn and think. Imagine them as small, interconnected brain cells inside the computer. They work together to understand and recognize things in pictures, sounds, and text, making the computer smarter and more like a human brain. So, it's like teaching computers to think by using digital brain cells.
Natural Language Processing (NLP): NLP is all about teaching computers to talk like us, like humans, which is great for chatbots and language translation.
LLM (Language Model): Think of an LLM as a smart computer program that understands and talks with people using human language. It can answer questions, write text, and have conversations, like a friendly digital helper. LLMs can make chatbots and virtual assistants smarter, making it easier for businesses to communicate with their customers. An LLM learns through training.
Training: teaching an AI how to do something, like recognizing faces in photos or translating languages by feeding it data. During training, the LLM is fed with lots of text from books, websites, and other sources. It's like teaching the LLM how people talk and write. The LLM then uses this training to understand and generate human-like text.
Algorithm: Think of it as a computer recipe – it tells the computer what steps to follow.
Chatbots: Chatbots are like helpful digital friends inside your computer or phone. They can talk to you, answer questions, and do tasks. It's a bit like having a conversation with a clever computer program that's there to assist you. They're often used for customer support, answering questions, or even just for a friendly chat.
Gen AI (Artificial General Intelligence): Gen AI is like creating a computer that can be clever at a lot of different tasks, just like how humans can learn many things, including “generating” new, similar things from what it has learned.
Prompts: Prompts are like questions or instructions you give to AI to get answers or make it do things. You're the boss, and prompts help you tell the computer what you want it to do
These quick and easy explanations can help get started with AI and start to discover how it can make business better and more efficient.
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