wangxu0820/NegativePrompt
The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli".
This helps researchers and practitioners enhance large language model (LLM) performance by incorporating negative emotional stimuli into their prompts. By providing an existing prompt and selecting a negative emotional strategy, you can generate more robust and accurate LLM outputs. It's designed for anyone working with advanced LLM applications, such as AI researchers or machine learning engineers.
No commits in the last 6 months.
Use this if you are a researcher or engineer looking to improve the quality and resilience of your large language model outputs, especially in complex or nuanced tasks.
Not ideal if you are looking for a simple, out-of-the-box solution for basic LLM prompting or if you are not familiar with integrating Python code into your workflow.
Stars
25
Forks
1
Language
Python
License
—
Category
Last pushed
May 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/wangxu0820/NegativePrompt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ShiZhengyan/PowerfulPromptFT
[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining?...
OpenDriveLab/DriveLM
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
MILVLG/prophet
Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for...
deepankar27/Prompt_Organizer
Managed Prompt Engineering
mala-lab/NegPrompt
The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for...