Conditional generation refers to the ability of AI models to generate content, such as text, images, or code, based on specific input conditions or constraints. These conditions guide the model on what type of output to produce.
Consensus Mechanism (Agents) refers to the processes and systems that allow multiple autonomous agents to agree on a shared outcome or state, especially in decentralized environments.
Context Persistence refers to an agentic AI system's ability to retain, maintain, and correctly apply relevant contextual information across time, interactions, and task boundaries.
