Long Context Processing
DeepSeek-V3 handles long contexts effectively. Instructing it to read the full content before analyzing prevents early-context bias. Asking for a confidence assessment helps you identify where the model might be uncertain due to context length.
I'm providing a large {{contentType}} below (approximately {{tokenEstimate}} tokens). Process it according to these instructions: **Task:** {{processingTask}} **Processing rules:** - Read the entire content before starting your analysis - Reference specific sections by quoting relevant passages - If the content contains contradictions, flag them explicitly - Maintain accuracy — do not infer information that is not present **Structure your response as:** 1. {{outputSection1}} 2. {{outputSection2}} 3. {{outputSection3}} 4. Confidence assessment: rate your confidence in each section (high/medium/low) <content> {{longContent}} </content>
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Why this prompt works
DeepSeek-V3 handles long contexts effectively. Instructing it to read the full content before analyzing prevents early-context bias. Asking for a confidence assessment helps you identify where the model might be uncertain due to context length.
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