What is Agentic AI?AI systems that act autonomously as agents to achieve goals with minimal human supervision.
Agentic AI, also known as agentic systems, multi-agent AI, or multi-agent systems, represents a significant advancement in artificial intelligence (AI). These systems are designed to act as autonomous agents capable of performing complex tasks, making decisions, and interacting with their environments independently. Agentic AI goes beyond the request-response model of generative AI, enabling agents to autonomously make plans, set goals, and perform work on a user’s behalf.
This technology leverages advanced algorithms, large language models (LLMs), and sensory inputs to execute actions in real time while continuously learning and optimizing performance through feedback loops. Agentic AI systems require high levels of interactivity, as they must constantly communicate and coordinate with their environment, other agents, and human users to effectively carry out their tasks. In enterprise settings, agentic AI, one type of machine-to-machine AI (M2M AI), has significant potential for driving business value by automating complex workflows and making context-aware decisions autonomously.
Ayar Labs’ in-package optical I/O technology enables agentic AI by providing ultra-high-bandwidth, low-latency communication among disaggregated compute resources. Ayar Labs’ solution allows the creation of vast, scalable AI networks. These networks can support the immense data transfer requirements of agentic AI systems, facilitating the rapid, efficient communication necessary for multi-agent systems to operate effectively.
Image source: https://aisera.com/blog/agentic-ai/
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