The introduction of multi-agent systems (MAS) has transformed how enterprises leverage artificial intelligence (AI). These systems comprise multiple autonomous agents that can interact, collaborate, and coordinate to achieve complex objectives. Unlike traditional single-agent systems, which operate in isolation, MAS harnesses the collective capabilities of diverse agents, each designed for specific tasks. [...]
Since AI models have been known to generate responses that are disconnected from reality, organizations are on the lookout for solutions that will improve the accuracy of their results. One technique, Grounding, enables AI systems to limit their risk of inaccurate results. Grounding bridges the divide between the abstract [...]
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