There is a vast array of AI systems other than LLMs and generative AI, such as:
Machine Learning Systems: Enables machines to learn from data without explicit programming.
Supervised Learning: Netflix's movie recommendations
Unsupervised Learning: Spotify's Discover Weekly playlist grouping
Reinforcement Learning: Tesla's self-driving capabilities
Computer Vision Systems: Enables machines to "see" and interpret images and videos.
Object Detection: Security cameras at airports
Facial Recognition: iPhone's Face ID
Image Segmentation: Snapchat/Instagram filters
Video Analysis: Sports analytics during live broadcasts
Expert Systems: Simulating the decision-making ability of a human expert in a specific domain.
Medical diagnosis tools like IBM's Watson Health
Tax preparation software like TurboTax
Industrial troubleshooting systems in manufacturing plants
Natural Language Systems: Enable computers to understand, interpret, and generate human language.
LLMs: ChatGPT, Google Bard
Speech Recognition: Siri, Alexa, Google Assistant
Text-to-Speech: Audiobook narration
Machine Translation: Google Translate
Robotics AI: Designing, building, and operating robots that can perform physical tasks.
Amazon's warehouse robots
Boston Dynamics' robots
Surgical robots like da Vinci
Robot vacuum cleaners like Roomba
Optimization Systems: Find the best solution from a set of available alternatives, maximizing or minimizing a given objective.
Airline route planning
Uber's ride-matching algorithms
Google Maps' traffic routing
Supply chain optimization in retail
Time Series & Predictive Systems: Analyse sequences of data points collected over time to forecast future values or trends.
Weather forecasting applications
Stock market trading algorithms
Smart energy grid management
Predictive maintenance in manufacturing