
Agentic
Agentic AI is an advanced branch of artificial intelligence that empowers systems to act autonomously, make decisions, and accomplish complex tasks with minimal...
Agentic AI is an advanced branch of artificial intelligence that empowers systems to act autonomously, make decisions, and accomplish complex tasks with minimal...
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables machines to learn from data, identify patterns, make predictions, and improve dec...
Multi-hop reasoning is an AI process, especially in NLP and knowledge graphs, where systems connect multiple pieces of information to answer complex questions o...
Q-learning is a fundamental concept in artificial intelligence (AI) and machine learning, particularly within reinforcement learning. It enables agents to learn...
Reinforcement Learning (RL) is a subset of machine learning focused on training agents to make sequences of decisions within an environment, learning optimal be...
Reinforcement Learning (RL) is a method of training machine learning models where an agent learns to make decisions by performing actions and receiving feedback...
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that integrates human input to guide the training process of reinforcement lea...