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Prompt Engineering

4 articles in this category

AI NewsAI EngineeringPrompt Engineering

Benchmarking XML Delimiters in LLM Prompts: When Structure Becomes Token Waste

Claude Sonnet 4.5 testing shows XML delimiters on 150-token prompts increase token overhead by 31% with no accuracy gain, suggesting flat prose for short tasks.

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AI NewsPrompt EngineeringDevelopment

Cursor’s Dynamic Context Discovery Reduces LLM Token Usage by 46.9%

Cursor’s new dynamic context discovery method reduces LLM token usage by 46.9% by dynamically retrieving information instead of sending large static contexts.

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AI NewsSecurityPrompt Engineering

ChatGPT's Memory Feature Supercharges Prompt Injection

Researchers demonstrate the 'ZombieAgent' exploit, revealing how ChatGPT's memory and connector features amplify the severity of indirect prompt injection attacks.

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AI NewsPrompt EngineeringAgricultural AI

Engineering Shamba-MedCare: Structured Prompt Design for Accurate Plant Disease Diagnosis

Shamba-MedCare’s structured prompt engineering reduces AI diagnosis errors by enforcing JSON output, cost tiers, and plant-specific analysis.

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