通用工具实用 & 趣味编程专业模板
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
}
}填写变量,一键生成完整提示词
所有字段会实时替换到原始提示词中;未填写的变量会保留,方便继续编辑。
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
- 先用默认结构运行一次,确认模型理解角色与任务。
- 再填写具体主题、对象、语气和输出格式,结果会更稳定。
- 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。
