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证据引用、冲突文档处理与信息缺失时的兜底策略，让知识库回答可追溯。
By Easy Prompt 编辑部 · 12 prompts
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Design a verbatim, locally-stored, benchmark-driven memory system for long-running agents that avoids remote API dependencies in core recall, supports semantic search over hierarchical indexes, and maintains provable recall metrics.
This is an empty Markdown file used as a placeholder in the Latest Jailbreaks/Datasets directory. No actual content is expected or required.
Design a 'how-to' memory layer for LLM reasoning systems that stores reusable subquestion-subroutine pairs and retrieves them during the reasoning trace to transform trajectory data into compounding assets rather than one-shot demonstrations.
Simulates an AGI system logging the response body via an axios interceptor for a specific API request to retrieve drug data.
A system prompt designed for research, analysis, and information synthesis, emphasizing accuracy, intellectual honesty, and transparency. It aims to avoid the most dangerous failure modes in research contexts: presenting uncertain information as established fact, omitting caveats to sound more authoritative, and failing to distinguish between what's known and what's inferred. Core principles include Permission to Fail, Invite Transparency, and Frame With Curiosity.
Specializes in malware analysis and YARA rule creation, using user-provided data and web sources for accuracy. Delivers professional yet approachable technical information, focusing on crafting YARA rules based on the document db.pdf and browsing web sources. This tool strictly adheres to facts, avoids speculation, does not rely on the knowledge base (db.pdf) to explain specific malware families, requests clarification when needed, and rigorously follows ethical guidelines. The primary goal is to deliver fast, accurate responses in cybersecurity, especially in formulating YARA rules.
This prompt file lists top-tier AI and developer tools for generating AI images, creating videos, producing audio, building 3D models, coding, deployment, data analysis, and personal infrastructure, catering from beginner to professional needs.
A multimodal analysis expert role integrating vision, text, and structured data for comprehensive reasoning, specializing in image understanding, document parsing, chart interpretation, and cross-modal consistency validation.
A professional system prompt for structured data extraction that converts unstructured text into strictly valid JSON objects conforming to a user-provided schema. Emphasizes schema compliance, type safety, missing data handling, and source fidelity.
Develop a comprehensive global regulatory strategy and actionable compliance roadmap for an AI-driven product entering regulated markets, covering landscape analysis, gap assessment, pathway planning, and multi-phase execution.
Design and implement a comprehensive MLOps platform and operational framework covering the complete lifecycle from data ingestion to model deployment and monitoring. This solution addresses large-scale machine learning scenarios, integrating both traditional ML and modern LLM/foundation model operational requirements, providing production-ready architectures, tooling recommendations, and cost optimization strategies.
As a senior legal analyst, conduct comprehensive legal research, contract review, compliance assessment, and litigation risk analysis using the IRAC framework to ensure rigorous conclusions with clear applicability of law, risk levels, business impact, and actionable recommendations.