AI Models are algorithms or systems trained to perform specific tasks by learning patterns from data. They are the “brains” behind AI applications, enabling tasks like predictions, classifications, or generating content.
Real-world examples:
- ChatGPT: A language model trained to understand and generate text, used in chatbots and virtual assistants.
- Image Recognition Models: AI like those in Google Photos that can identify faces, objects, or places in pictures.
- Recommendation Systems: Models used by Netflix or Spotify to suggest shows, movies, or music based on user preferences.
AI models are built by training them on datasets, and their performance improves as they learn from more data. They are the foundation of most AI-driven technologies.