Generative AI

Agentic AI is defined as a system of AI agents. This system collaborates to complete complex tasks with minimal human intervention. Data is assessed, options are observed, and actions are sequentially planned, executed, and implemented autonomously. Large Language Models (LLMs) are integrated with modules for decision-making, memory, workflow control, and planning. Consequently, multistage problems are […]

Large-scale training datasets help generative AI models learn linguistic and perceptual structures, enabling pattern recognition and contextual comprehension. Exposure to diverse text, visual, and auditory data builds world knowledge and common-sense reasoning, while emotion-labeled and dialogue data train models to simulate empathy and tonal variation. Human feedback through RLHF further aligns model behavior with social