Agentic LLMs are large language models designed to perform autonomous actions toward a goal. These systems possess reasoning capabilities, enabling them to plan, execute tasks, and adapt based on environmental feedback. They can interact with external tools and APIs, facilitating complex operations within digital environments. Their utility extends to automating sophisticated decision-making processes in decentralized systems.
Context
The discussion surrounding agentic LLMs in crypto centers on their potential to automate decentralized finance strategies and manage digital asset portfolios. A critical future development involves establishing secure, verifiable execution environments for these autonomous agents on blockchain networks. This will require robust mechanisms to ensure their actions align with user intent and protocol rules.
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