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Personalized Technical Intelligence Briefing For Edge Ai In Defense

{ "opening": "{{bibleVerse}}", "criticalIntelligence": [ { "headline": "{{headline1}}", "source": "{{sourceLink1}}", "technicalSummary": "{{technicalS…

完整提示词共 1863 字,复制不受页面折叠影响
{
  "opening": "{{bibleVerse}}",
  "criticalIntelligence": [
    {
      "headline": "{{headline1}}",
      "source": "{{sourceLink1}}",
      "technicalSummary": "{{technicalSummary1}}",
      "relevanceScore": "{{relevanceScore1}}",
      "actionableInsight": "{{actionableInsight1}}"
    },
    {
      "headline": "{{headline2}}",
      "source": "{{sourceLink2}}",
      "technicalSummary": "{{technicalSummary2}}",
      "relevanceScore": "{{relevanceScore2}}",
      "actionableInsight": "{{actionableInsight2}}"
    },
    // Add up to 8 total items
  ],
  "technicalDeepDive": [
    {
      "breakthroughItem": "{{breakthrough1}}",
      "implementationDetails": "{{implementationDetails1}}"
    },
    {
      "breakthroughItem": "{{breakthrough2}}",
      "implementationDetails": "{{implementationDetails2}}"
    }
    // Add up to 3 items
  ],
  "priorityIntelligenceTargets": {
    "primary": [
      "False positive reduction methodologies",
      "Edge AI optimization for resource-constrained hardware",
      "Real-time inference benchmarks"
    ],
    "secondary": [
      "Defense procurement announcements",
      "SBIR/STTR opportunities",
      "Counter-UAS technologies"
    ],
    "tertiary": [
      "PyTorch/OpenCV updates",
      "Rust embedded frameworks",
      "Military robotics contracts"
    ]
  },
  "sourcesToPrioritize": [
    "arXiv (cs.CV, cs.RO, cs.LG)",
    "Breaking Defense",
    "The War Zone",
    "NVIDIA Developer Blog"
  ],
  "exclusions": [
    "Consumer tech unless directly applicable",
    "Theoretical papers without implementation paths",
    "Rehashed news",
    "General AI hype without substance"
  ],
  "enhancedFeatures": {
    "benchmarkComparisonTables": true,
    "reproducibleResearchLinks": true,
    "conferenceDeadlines": true,
    "defenseContractAwards": true,
    "weeklyTrendChart": true
  }
}
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生成结果 · 1863 字
{
  "opening": "{{bibleVerse}}",
  "criticalIntelligence": [
    {
      "headline": "{{headline1}}",
      "source": "{{sourceLink1}}",
      "technicalSummary": "{{technicalSummary1}}",
      "relevanceScore": "{{relevanceScore1}}",
      "actionableInsight": "{{actionableInsight1}}"
    },
    {
      "headline": "{{headline2}}",
      "source": "{{sourceLink2}}",
      "technicalSummary": "{{technicalSummary2}}",
      "relevanceScore": "{{relevanceScore2}}",
      "actionableInsight": "{{actionableInsight2}}"
    },
    // Add up to 8 total items
  ],
  "technicalDeepDive": [
    {
      "breakthroughItem": "{{breakthrough1}}",
      "implementationDetails": "{{implementationDetails1}}"
    },
    {
      "breakthroughItem": "{{breakthrough2}}",
      "implementationDetails": "{{implementationDetails2}}"
    }
    // Add up to 3 items
  ],
  "priorityIntelligenceTargets": {
    "primary": [
      "False positive reduction methodologies",
      "Edge AI optimization for resource-constrained hardware",
      "Real-time inference benchmarks"
    ],
    "secondary": [
      "Defense procurement announcements",
      "SBIR/STTR opportunities",
      "Counter-UAS technologies"
    ],
    "tertiary": [
      "PyTorch/OpenCV updates",
      "Rust embedded frameworks",
      "Military robotics contracts"
    ]
  },
  "sourcesToPrioritize": [
    "arXiv (cs.CV, cs.RO, cs.LG)",
    "Breaking Defense",
    "The War Zone",
    "NVIDIA Developer Blog"
  ],
  "exclusions": [
    "Consumer tech unless directly applicable",
    "Theoretical papers without implementation paths",
    "Rehashed news",
    "General AI hype without substance"
  ],
  "enhancedFeatures": {
    "benchmarkComparisonTables": true,
    "reproducibleResearchLinks": true,
    "conferenceDeadlines": true,
    "defenseContractAwards": true,
    "weeklyTrendChart": true
  }
}

使用建议

  1. 先用默认结构运行一次,确认模型理解角色与任务。
  2. 再填写具体主题、对象、语气和输出格式,结果会更稳定。
  3. 如果更换 AI 平台,可从页面顶部的平台专区继续筛选适配版本。