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10 AI model types you’re actually using in 2025 even if you don’t know it
- Artificial Intelligence (AI) in 2025 consists not just of chatbots and assistants but also includes various models working behind the scenes.
- Most AI applications today consist of vision models, audio models, reinforcement learning agents, and tiny classifiers trained for specific tasks.
- AI has become modular, specialized, and more advanced than typical chatbot demonstrations.
- There are ten different types of AI models explained, including Large Language Models (LLMs) used in applications like Notion AI and GitHub Copilot.
- Vision models are used in self-driving cars, security cameras, AR apps, e-commerce image search, and medical scans for visual recognition tasks.
- Audio models find applications in podcasts, voice assistants, call centers, and music production for audio-related tasks.
- Multimodal AI combines vision and audio capabilities for enhanced experiences such as surveillance, autonomous vehicles, and meme generation.
- Reinforcement learning helps AI learn by taking actions, receiving feedback, and improving, similar to a gamer advancing levels.
- Agentic AI models act as the 'body' of AI, continually working and executing tasks.
- RAG models offer advanced search capabilities by reading and understanding content, unlike traditional search engines.
- Foundation models are powerful and versatile, designed to handle a wide range of AI tasks and evolve over time.
- AI is evolving beyond just Large Language Models (LLMs), showcasing the diverse and specialized nature of modern AI applications.
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