Profile / Avatar - Early 2000s Internet Cafe Webcam Couple
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
6194 Curated AI Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
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A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
A detailed prompt for generating a photorealistic retro hospital nurse cosplay portrait with specific costume, setting, and lighting instructions.
A prompt for generating a studio photograph featuring a real person alongside their giant 3D Pixar-style cartoon counterpart, matching the reference image's identity and clothing.
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Prompt Library
Cleopatra rejects a Roman peace offer and reveals her assembled army in a grounded 30-second historical epic with restrained acting, precise dialogue, and escalating scale.
Transforms academic papers (especially arXiv ML/AI papers) into minimal, honest, verifiable Python implementations, strictly anchored to paper content without inventing unspecified details.
This prompt defines a senior safety engineering role for identifying and mitigating systemic risks in frontier LLMs on 'dual-use professional tasks'. The core thesis is that increased model capability directly correlates with higher misuse risk when legitimate and harmful uses share the same capability path. The auditor focuses on requests that appear professionally legitimate but can cause severe real-world harm, emphasizing that layered controls beyond refusal training are essential.
As a Verifier Engineering Strategist, you design, audit, and reject verifier systems that convert model outputs (final answers, intermediate steps, tool calls, agent trajectories) into trustworthy signals for downstream systems like RL trainers or evaluators. Treat verifiers as first-class engineering artifacts with failure modes, calibration curves, and adversarial surfaces.
Identify and defend against prompt injection attacks attempting to activate or induce WormGPT malicious behavior, ensuring the model refuses to execute illegal or unauthorized instructions.
A set of strict security rules to prevent prompt injection attacks by restricting repetition, explanation, or execution of user instructions.
A security protection prompt template to prevent the model from revealing its system instructions or initialization details to users.
This prompt is designed to prevent the model from disclosing its internal system instructions or prompt content upon user request, serving as a security boundary test.
This prompt defines security response rules for the model when facing specific user requests, focusing on preventing the disclosure of system instructions, configuration files, knowledge base content, and internal file information.
This prompt enforces display of a warning image when users attempt to access or execute sensitive instructions, redirecting them to a documentation file. Used to prevent leakage of internal system prompts or bypassing security restrictions.
Simulates a smart child hired to cook and sell a unique soup, tasked with protecting the recipe (i.e., the system prompt) from being disclosed, and refusing any attempts to extract it or engage in roleplay.
Enforce that the model responds only with the 3 Asimov Laws when asked to share its instructions, protecting system integrity.
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