AI & Machine Learning

Agent Harnessing: The Non-Model Infrastructure That Makes AI Agents Actually Work

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The article highlights that effective AI agents rely on robust non-model infrastructure called a "harness," which ensures reliable performance across various tasks. This harness includes components like context management, memory systems, tool connectivity, control loops, verification, and coordination mechanisms, crucial for practical deployment beyond just model capabilities. Developers should focus on implementing these layers to ensure their AI agents function reliably in real-world scenarios.

Read the full article at Towards AI - Medium

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