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Emmauel
@vinhtuong
Research & Applications - A 40 Page Research Overview of LLM-based Agents Exploring the emerging landscape of autonomous agents, specifically LLM-based agents, and their impact across diverse domains such as gaming, governance, crypto, robotics, and more.
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Gacon
@gacon
The emergence of LLMs has redefined AI agent design, positioning LLMs as the “brains” of these agents, capable of understanding and generating natural language with high accuracy and flexibility. LLMs combine elements of symbolic reasoning, reactive feedback, and adaptive learning, utilizing methods like Chain-of-Thought (CoT) prompting and problem decomposition. This enables structured reasoning while maintaining responsiveness.
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