We currently have 9 entries in this glossary.
Autonomous AI Agents – AI systems capable of making decisions and performing tasks independently.
Edge AI – AI that runs on local devices rather than relying on cloud computing.
Few-Shot Learning – Training AI models with very limited examples
Multimodal AI – AI systems that can process and integrate multiple types of data (e.g., text, images, and audio).
Neurosymbolic AI – A combination of neural networks and symbolic reasoning for AI with logical reasoning capabilities.
Quantum AI – AI techniques that leverage quantum computing for complex problem-solving.
Self-Supervised Learning – An ML approach where the model learns from data without explicit labels.
Synthetic Data – Artificially generated data used to train AI models when real-world data is scarce.
Zero-Shot Learning – AI models that can make predictions on tasks they haven't been trained for.
