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Prompt Engineering Pocket Guide

PulseAugur coverage of Prompt Engineering Pocket Guide — every cluster mentioning Prompt Engineering Pocket Guide across labs, papers, and developer communities, ranked by signal.

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最近 · 第 1/1 页 · 共 4 条
  1. COMMENTARY · CL_46879 ·

    Outdated prompt advice harms LLM accuracy; use fewer examples

    Prompt engineering advice to use few-shot examples is often outdated and can harm LLM performance. While beneficial for older models like GPT-3, newer instruction-tuned models such as GPT-4o and Claude 4.7 can understan…

  2. TOOL · CL_46880 ·

    Prompt testing script treats LLM prompts as code migrations

    This post introduces a method for testing changes to large language model prompts, treating them as code migrations rather than simple edits. It proposes a 50-line Python script that runs evaluations against two prompt …

  3. COMMENTARY · CL_46086 ·

    Prompt engineering: Cut bloated few-shot examples to save tokens

    Prompt engineering guides often overlook a critical issue: the bloat of few-shot examples in LLM prompts. Over time, these examples accumulate due to bug fixes and edge case handling, increasing token costs without a co…

  4. TOOL · CL_21440 ·

    AI agents suffer 'tool definition drift' when prompts lag behind toolset updates

    A common issue in production AI agents is "tool definition drift," where the agent's system prompt no longer accurately reflects its available tools. This occurs when the toolset expands over time, but the prompt remain…