🤖🧠 Unlocking Creativity with Awesome ChatGPT Prompts: The Ultimate Guide for AI Enthusiasts

🗓️ 22 Oct 2025
📚 AI News & Trends

Artificial Intelligence has transformed how we create, communicate, and innovate and at the heart of this revolution lies prompt engineering. One of the most powerful tools in this domain is the “Awesome ChatGPT Prompts” repository – a growing collection of creative, technical and professional prompts designed for ChatGPT and other large language models like Claude, ...

#ChatGPT #PromptEngineering #AIEnthusiasts #ArtificialIntelligence #LargeLanguageModels #AICreativity

✨PromptBridge: Cross-Model Prompt Transfer for Large Language Models

📝 Summary:
PromptBridge combats Model Drifting, where prompts lose effectiveness across LLMs. Training-free, it enables cross-model prompt transfer by mapping source prompts to optimized target prompts, improving accuracy, reducing re-optimization.

🔹 Publication Date: Published on Dec 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01420
• PDF: https://arxiv.org/pdf/2512.01420

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#LLM #PromptEngineering #AI #ModelDrifting #PromptBridge

✨Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation

📝 Summary:
PRIS adaptively revises prompts during text-to-visual generation inference to enhance user intent alignment. It reviews visual failures and redesigns prompts using fine-grained feedback, proving that jointly scaling prompts and visuals improves accuracy and quality.

🔹 Publication Date: Published on Dec 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.03534
• PDF: https://arxiv.org/pdf/2512.03534
• Project Page: https://subin-kim-cv.github.io/PRIS

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#PromptEngineering #TextToImage #GenerativeAI #DeepLearning #AIResearch

✨Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models

📝 Summary:
LVLM-based text-to-image models exhibit greater social bias than non-LVLM models, with system prompts identified as the key driver. The paper introduces FairPro, a training-free meta-prompting framework that significantly reduces demographic bias while maintaining text-image alignment.

🔹 Publication Date: Published on Dec 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04981
• PDF: https://arxiv.org/pdf/2512.04981
• Github: https://github.com/nahyeonkaty/fairpro

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#AIBias #TextToImage #LVLMs #PromptEngineering #AIFairness

✨Composing Concepts from Images and Videos via Concept-prompt Binding

📝 Summary:
Bind & Compose introduces a one-shot method for composing visual concepts from images and videos. It binds concepts to prompt tokens using hierarchical binders and novel strategies, achieving superior consistency, fidelity, and motion quality.

🔹 Publication Date: Published on Dec 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09824
• PDF: https://arxiv.org/pdf/2512.09824
• Project Page: https://refkxh.github.io/BiCo_Webpage/
• Github: https://github.com/refkxh/bico

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#AI #ComputerVision #GenerativeAI #VisualConcepts #PromptEngineering

✨Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

📝 Summary:
Promptomatix automates LLM prompt optimization, transforming natural language into high-quality prompts without manual tuning. This framework improves performance and efficiency across tasks, reducing prompt length and computational overhead.

🔹 Publication Date: Published on Jul 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2507.14241
• PDF: https://arxiv.org/pdf/2507.14241
• Github: https://github.com/SalesforceAIResearch/promptomatix

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#LLM #PromptEngineering #AI #MachineLearning #AIOptimization