At its core, artificial intelligence refers to computer systems that can perform tasks that normally require human intelligence – like understanding language, recognizing patterns, solving problems, or making decisions.
AI doesn’t think or feel the way humans do – it processes data. It learns from patterns in large datasets and uses those patterns to make predictions or generate responses.
One of today’s most well-known kinds of AI is generative AI, which is designed to create original content in response to user prompts. Generative AI operates on the large language model (LLM) – accessible through interfaces like ChatGPT, Claude, or Gemini. These models are trained on massive collections of text from books, articles, and websites. They don’t search the internet for answers – they predict what words are likely to come next, according to patterns they’ve learned. Think of it as the world’s most advanced form of autocomplete. When you ask a question, the model generates a response word by word, choosing each next word based on probabilities. That’s why LLMs can produce writing that sounds human.
Example Tools:
Example Tools:
Example Tools:
Example Tools: