Imagine asking an LLM, “Did Aristotle use a laptop?” It might seriously fabricate a reason: “There was already wireless internet in ancient Greece…” This phenomenon of “seriously nonsense” is what we call the LLM’s “hallucination.” Paper: Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Link: https://arxiv.org/pdf/2504.14520 The paper points out that meta-thinking— the ability … Read more
In today’s digital age, artificial intelligence (AI) is no longer just a tool; it is evolving into an intelligent workforce composed of numerous AI agents capable of autonomous planning, reasoning, and task execution. The rise of Multi-Agent Systems (MAS) is fundamentally changing the way businesses operate by enabling specialized AI agents to collaborate seamlessly, tackling … Read more
In the past two years, the most exciting development in the field of AI has been the rise of large language models (LLMs), which have demonstrated remarkable understanding and generation capabilities. Building on this foundation, a grander vision has emerged: to construct Multi-Agent Systems (MAS). Imagine not a single AI working alone, but a “dream … Read more