Learn the basics of artificial intelligence, machine learning, deep learning, NLP, neural networks, LLMs, and other essential AI concepts in simple language.
When an artificial intelligence system learns by trying different actions and receiving positive or negative feedback, it is using a specific type of machine learning. This approach is different from learning from labeled examples or simply finding patterns in data without predefined answers. So, which learning type involves feedback in the form of rewards and
When people talk about how large language models learn, terms such as tokens, training data, parameters, and next-token prediction come up often. Among these, tokens are one of the most basic building blocks of the entire process. So, what are tokens in the context of large language models training? Tokens are the smaller units of
When people classify artificial intelligence, they may use different frameworks. One framework looks at what an AI system is capable of doing, while another looks at how the system functions. This can make questions about AI capabilities confusing, especially when terms such as learning, memory, reasoning, and intelligence appear together. So, which of these AI
When artificial intelligence is used to recommend a job candidate, approve a loan, identify medical conditions, or personalize an online service, one important question must be asked: Is the system treating people fairly? That is at the heart of AI fairness. So, what does fairness mean when it comes to AI ethics? In simple terms,
If you are asking which type of machine learning is trained on labeled data, the answer is supervised learning. It is a machine learning approach where a model learns from examples that already have known answers or labels. For example, if you give an AI system thousands of emails marked “spam” or “not spam,” it
If you have ever wondered what is the main inspiration behind deep learning algorithms, the simplest answer is the human brain. Deep learning is built around artificial neural networks that were originally inspired by the way biological neurons connect, communicate, and process information. But there is an important detail. Deep learning does not simply copy
Artificial intelligence changed dramatically in the early 2020s. AI had already been developing for decades, but this period brought a shift that made advanced AI much more visible and accessible to everyday users. Systems that once seemed limited to research labs began appearing in creative tools, search products, software development, education, business applications, and consumer
Artificial intelligence was no longer just a theoretical idea by the time the 1980s arrived. Researchers were beginning to explore practical ways for computers to learn, reason, recognize patterns, and assist with specialized human tasks. So, what did AI begin to do in the 1980s? The decade saw important developments in expert systems, neural networks,