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📚 Agent Symbolic Learning: An Artificial Intelligence AI Framework for Agent Learning that Jointly Optimizes All Symbolic Components within an Agent System


Nachrichtenbereich: 🔧 AI Nachrichten
🔗 Quelle: marktechpost.com

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents faces significant challenges. The current approach involves manually decomposing tasks into LLM pipelines, with prompts and tools stacked together. This process is labor-intensive and engineering-centric, limiting […]

The post Agent Symbolic Learning: An Artificial Intelligence AI Framework for Agent Learning that Jointly Optimizes All Symbolic Components within an Agent System appeared first on MarkTechPost.

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