Artificial Intelligence is a subfield of computer science where knowledge is applied to develop machines that mimic human intelligence. This includes issues like understanding language, reasoning, other problem-solving skills, and decision-making.
Artificial intelligence (AI) is becoming a crucial component of our everyday life, whether we realise it or not. From chatbots that assist us online to algorithms that learn on their own, artificial intelligence is full of innovative concepts. In this article, we’ll explain key terms like machine learning, deep learning, and more, so you can grasp their definitions and use them to learn more deeply in AI technology.
Top AI Terms for Beginners
1. Machine Learning (ML)
Computers learn from data without clear instructions due to machine learning which is a part of AI. These systems spot patterns in the data they look at to get better instead of just following set rules. Let’s say you want a computer to spot cat pictures. You’d show it loads of cat photos and let the system figure out what features all cats share.
2. Deep Learning (DL)
Deep learning is a branch of machine learning that analyzes complex data using neural networks. It lets computers learn from huge amounts of information and make choices or guesses based on what they’ve learned. This process mimics how our brains handle information.
Top AI Programming Kits to Kickstart Your Coding Journey
3. Natural Language Processing (NLP)
Natural Language Processing is an AI field that deals with how computers grasp and communicate using human language. It allows machines to take in, understand, and answer text or spoken words in a way that seems normal to people. NLP has applications in things like chatbots and apps that translate languages.
4. Neural Network
An algorithmic system called a neural network is made to identify patterns in data. Imagine it as a simplified representation of the way our brains function, with interconnected nodes (like neurons) processing and learning from information.
5. Generative AI
Generative AI means tech that makes new content based on what it has learned from existing data. This covers a wide range, from writing stories and making images to creating music all while trying to copy human creativity.
6. Large Language Model (LLM)
A Large Language Model is a type of AI built to understand and produce text that sounds human. It’s been trained on huge amounts of written data, which lets it guess what words should come next in a sentence or answer questions in a chat-like way.
ChatGPT from OpenAI and Gemini from Google stand out as well-known LLM examples.
7. Chatbot
A Chatbot is an AI program that talks with users through text or voice. It’s like having a digital helper that can answer questions, give info, or help with jobs in real-time often used when dealing with customers.
8. Tokens
Tokens are the basic building blocks in Natural Language Processing. They represent pieces of text like words or parts of words that the AI uses to understand and generate language. By breaking down sentences into tokens, the system can analyze and respond more effectively.
9. API (Application Programming Interface)
An Application Programming Interface, or API, is a set of rules that facilitates communication between various software programs. Consider it as a bridge connecting two apps: one application utilizes an API to send requests and get answers when it wants to access data or functionality from another program. Without starting from scratch, developers can more easily include various services and functionalities into their apps through APIs.
10. Artificial General Intelligence (AGI)
Theoretically, artificial general intelligence (AI) refers to an AI that like humans, is capable of comprehending, learning, and applying knowledge in a wide range of contexts. AGI would be capable of carrying out any intellectual work that a human is capable of, in contrast to current AI systems that are specialized for particular activities.
Currently, many notable companies like OpenAI, Google DeepMind, Microsoft, IBM, and many more are working on AGI. While significant progress has been made, challenges remain regarding ethical implications, safety, and alignment with human values.
End Note
AI has a huge impact on technology pushing it forward in ways we couldn’t even dream of a few years back. It’s not just a trendy word people are using nowadays. Getting a hold of these key terms can help you grasp how AI works and how it’s shaping the future.
Whether it is a chatbot answering questions or neural networks simulating the human brain, these concepts demonstrate how creative and fascinating the area of artificial intelligence is.
Recommended reading:
List of Stanford University AI Courses for FREE
