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Русский(RU) Промпт нейросети: пять слотов запроса, которые двигают ответ, и пять, которые только шумят

LLM prompt engineering: Specificity beats politeness, research shows

By PulseAugur Editorial · [1 sources] ·

Prompt engineering best practices are evolving, with new research suggesting that elements like politeness and persona do not reliably improve LLM performance. Studies from The Wharton School and findings from EMNLP 2024 indicate that while specific instructions on output format and constraints can significantly impact results, the inclusion of "magic words" or detailed persona descriptions often adds noise rather than value. Companies like OpenAI and Anthropic are also refining their guidance, emphasizing conciseness and directness in prompts to achieve better, more predictable outcomes. AI

IMPACT Refines understanding of effective LLM prompting, potentially leading to more efficient and predictable AI interactions.

RANK_REASON The cluster discusses findings from academic research and industry studies on LLM prompt engineering. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM prompt engineering: Specificity beats politeness, research shows

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The cluster discusses findings from academic research and industry studies on LLM prompt engineering. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Русский(RU) · Promptra Team ·

    Neural Network Prompt: Five Query Slots That Drive the Response, and Five That Just Make Noise

    <p>Роль эксперта и вежливость не поднимают точность в независимых замерах, повтор одной инструкции разными словами OpenAI велит вычищать из запроса, а структура и объём вывода результат двигают — но непредсказуемо и по-разному на разных моделях</p> <p>В отчёте Wharton School на G…

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