This repository provides a curated list of resources for leveraging Large Language Models (LLMs) to enhance grant applications. It targets researchers and academics seeking to improve the competitiveness of their grant proposals through AI assistance, offering a structured overview of relevant tools and prompt engineering techniques.

How It Works

The project categorizes LLM services based on their capabilities in grant writing tasks such as spelling/grammar checks, text generation, translation, mock reviews, and image generation. It also compiles prompt collections and engineering best practices specifically tailored for academic research writing, aiming to guide users in effectively interacting with LLMs for proposal development.

Quick Start & Requirements

• Install/Run: No installation required; it's a resource list.
• Prerequisites: Access to the internet and LLM services (e.g., ChatGPT, Bard, Copilot).
• Resources: Links to prompt collections, best practices, and grant writing guides are provided within the README.

Highlighted Details

• Comprehensive table comparing popular LLMs (ChatGPT, Bard, Grok, Copilot, Grammarly, etc.) against grant writing functions.
• Curated prompt examples for common grant writing needs: improving clarity, aligning with funding agency missions, developing titles, identifying challenges, and creating timelines.
• Links to external resources on grant writing fundamentals and LLM utilization for grants.

Maintenance & Community

• Contributions are welcomed, with guidelines provided.

Licensing & Compatibility

• The repository itself does not specify a license. The included resources may have their own licenses.

Limitations & Caveats

This is a curated list of resources and does not provide direct AI tools or services. The effectiveness of the prompts and services depends on the user's ability to adapt them to specific grant contexts and LLM capabilities.