This repository offers a curated collection of advanced prompts designed for Google's Gemini AI model. It targets users seeking to enhance their interactions with Gemini, providing sophisticated prompt engineering techniques and examples to elicit more detailed, structured, and nuanced responses. The primary benefit is empowering users to leverage Gemini more effectively through expertly crafted prompts.

How It Works

The project functions as a community-driven repository of prompt examples. It showcases advanced prompt engineering methodologies, notably the "Chain-of-Thought Engine - Deep Thinking Edition" which guides Gemini through multi-round, self-critical reasoning, and the "PDCA-ASK" learning method, which structures learning interactions. These techniques aim to foster deeper understanding and more robust outputs from the Gemini model.

Quick Start & Requirements

To get started, clone the repository and use the prompts provided within the README.md file as input for the Gemini model. No specific software installation or hardware prerequisites are detailed beyond access to the Gemini AI.

Highlighted Details

• Features advanced prompt engineering frameworks like the "Chain-of-Thought Engine" for deep, iterative reasoning and the "PDCA-ASK" learning methodology.
• Includes specific prompts for optimizing Gemini's performance with the Chinese language, addressing potential encoding issues and improving natural language output.
• The collection categorizes prompts, including those related to "jailbreaking" LLMs, suggesting exploration of model capabilities and limitations.

Maintenance & Community

The repository encourages community contributions by adding new prompts. However, it does not currently list specific maintainers, contributors, or dedicated community channels (e.g., Discord, Slack).

Licensing & Compatibility

Licensing information is not specified in the provided README. Compatibility with specific Gemini model versions or other LLM frameworks is also not detailed.

Limitations & Caveats

The README lacks explicit installation instructions beyond cloning and does not detail dependencies or specific Gemini API requirements. Crucially, licensing terms are absent, which could pose a barrier to adoption for commercial or derivative use. The "jailbreak" prompts may require careful ethical consideration and understanding of Gemini's terms of service.