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Русский(RU) «few-shot промптинг» в 2026 нужен только для формата - разбор свежих исследований

Few-shot prompting's effectiveness questioned in new LLM research

Recent research from 2025-2026 indicates that few-shot prompting, which involves providing examples in prompts, may no longer be as effective for advanced reasoning tasks with modern LLMs. Studies on models like Qwen2.5 and Qwen3 suggest that while few-shot examples can help align output format, they do not significantly improve reasoning capabilities compared to zero-shot approaches. This shift challenges previous best practices from 2023-2024, with current guidance from OpenAI and Google offering conflicting recommendations on whether to include examples. AI

IMPACT New research suggests few-shot prompting may be less effective for reasoning, potentially altering best practices for interacting with LLMs.

RANK_REASON The cluster discusses findings from multiple research papers (arXiv preprints) that challenge existing best practices for LLM prompting. [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 →

Few-shot prompting's effectiveness questioned in new LLM research

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The cluster discusses findings from multiple research papers (arXiv preprints) that challenge existing best practices for LLM prompting. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. dev.to — LLM tag TIER_1 Русский(RU) · Promptra Team ·

    "few-shot prompting" in 2026 is only needed for format - analysis of recent research

    <p>В гайде OpenAI для reasoning-моделей, актуальном на июль 2026, есть строка, которая ломает привычку нескольких лет: «Try zero shot first, then few shot if needed». А Google в гайде от 10 июня 2026 советует противоположное - всегда включать примеры. Два главных вендора дают вза…