Advanced-AI-Prompting-Guidelines-For-Research

KO | EN

gitlite — search

#javascript #python #llm #rust #deep-learning #docker #java #nodejs #windows #cli #awesome-list #security #openai #open-source

Advanced-AI-Prompting-Guidelines-For-Research

(★ 29)

A friendly and comprehensive set of guidelines to help researchers craft powerful prompts for AI. These resources cover everything from brainstorming thesis topics to exploring novel article angles—complete with bilingual (English & Persian) instructions!

Advanced-AI-Prompting-Guidelines-For-Research 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# AI Prompt Maestro: Advanced Research Prompting Guidelines

A practical guideline repository for researchers who use modern LLMs for academic ideation, literature review, research-gap discovery, structured extraction, writing support, and reproducible research workflows.

This repository was originally optimized for GPT-4o-style prompting. It has now been updated for newer LLM behavior: reasoning models, structured outputs, tool-enabled agents, multimodal input, long-context workflows, citation-aware research, and evaluation-driven prompt iteration.

## Main Guides

- [ModernResearchPrompting.md](ModernResearchPrompting.md) — the recommended 2026 guide for current LLMs.
- [EnglishGuideline.md](EnglishGuideline.md) — legacy English templates based on classic prompt formulas such as RTF, CTF, RASCEF, TAG, and RISE.
- [PersianGuideline.md](PersianGuideline.md) — Persian version of the legacy templates.
- [ThesisSummaryPrompt.md](ThesisSummaryPrompt.md) — Persian/English thesis and article summary prompt for literature-review paragraphs.

## What Changed in the Modern Guide?

The new guide shifts from simple prompt wording to full research-task design:

1. Context engineering instead of only prompt engineering.
2. Schema-first output design for tables, extraction, and machine-readable answers.
3. Reasoning-aware prompting for complex research tasks.
4. Tool-aware prompting for web search, file analysis, citation checking, code execution, and database/API workflows.
5. Multimodal prompting for PDFs, figures, tables, charts, screenshots, and scanned material.
6. Verification loops for hallucination control and source-grounded claims.
7. Evaluation patterns for comparing prompt versions instead of guessing which one is better.
8. Safer use of AI for academic work, including limitations, citation discipline, and privacy boundaries.

## Recommended Usage

For new work, start with `ModernResearchPrompting.md`.

Use the older English/Persian files when you need simple, copy-paste prompt templates for brainstorming or quick research ideation. Use the modern guide when accuracy, structure, reproducibility, or tool use matters.

## Core Principle

Modern LLM prompting is no longer just: “write a better instruction.”

It is: define the task, provide the right context, choose the right model behavior, constrain the output, verify the result, and iterate with measurable criteria.

## License

This project is licensed under the [MIT License](./LICENSE), which means you are free to share and adapt the content as long as you give appropriate credit.

## Contributing

Contributions are welcome. Good contributions include new prompt patterns, tested examples, model-specific notes, evaluation checklists, academic integrity guidance, and bilingual Persian/English research workflows.

## Contact

For questions or suggestions, open an issue or send me an [Email](mailto:hamid1375jamali@gmail.com).

Advanced-AI-Prompting-Guidelines-For-Research

Advanced-AI-Prompting-Guidelines-For-Research 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Advanced-AI-Prompting-Guidelines-For-Research

Advanced-AI-Prompting-Guidelines-For-Research 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README