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Optimizing System Instructions for Agentic Models

Strategies for crafting effective system prompts to control reasoning, planning, and execution in complex agentic workflows.

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Case Study: Improving Agent Benchmarks

In a recent optimization study for a leading multimodal model, researchers found that adding specific clauses about negative constraints (what not to do) significantly reduced hallucinated tool calls.

Example Clause:

"You do not have access to user files unless they are explicitly provided in the context. Do not attempt to guess filenames."

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