Federated Learning – A technique that trains models across multiple devices without sharing raw data.
Few-Shot Learning – Training AI models with very limited examples
Generative AI - AI that creates content, such as text, images, and music, from learned patterns.
GPT (Generative Pre-trained Transformer) – A type of AI model capable of generating human-like text.
Gradient Descent – An optimization algorithm used to minimize errors in ML models.
Long Short-Term Memory (LSTM) – An advanced RNN that retains long-term dependencies in sequences.
Machine Learning (ML) - A subset of AI that enables computers to learn from data without explicit programming.
Markov Decision Process (MDP) – A mathematical model for decision-making in RL
Multimodal AI – AI systems that can process and integrate multiple types of data (e.g., text, images, and audio).
Natural Language Processing (NLP) - The field of AI focused on enabling machines to understand and process human language.