Few-shot Learning: Apprendimento per Esempi
Fonte: Capitolo 5 - Tecniche Avanzate
Categoria: Tecniche Avanzate
Livello: Intermedio
URL: prmpt.onl/102
Quando usarlo
Quando vuoi che l’AI impari il tuo stile specifico attraverso esempi concreti invece di lunghe spiegazioni. La tecnica più efficace per trasferire pattern, tone of voice, e format preferences all’AI.
Ideale per:
- Copywriting e content creation con stile specifico
- Template e format standardization
- Creative work che segue pattern esistenti
- Output quality che deve matchare esempi di riferimento
Template
[SPIEGAZIONE BREVE DEL TASK]
Ecco alcuni esempi di come dovrebbe essere il risultato:
ESEMPIO 1:
Input: [scenario/input specifico]
Output: [risultato desiderato perfetto]
ESEMPIO 2:
Input: [scenario/input diverso]
Output: [altro risultato perfetto]
ESEMPIO 3:
Input: [terzo scenario]
Output: [terzo risultato perfetto]
Ora, usando lo stesso stile, pattern e qualitĂ degli esempi sopra:
Input: [IL TUO SCENARIO REALE]
Output: [AI produrrĂ output nello stesso stile]
Varianti
Per Creative Writing
Aggiungi: “Include tone of voice examples, character voice consistency, narrative style pattern, e creative structure template per consistent output.”
Per Business Communication
Aggiungi: “Focus su professional tone examples, stakeholder-appropriate language, persuasion patterns, e business outcome clarity.”
Per Technical Documentation
Aggiungi: “Include complexity level examples, audience-appropriate explanations, code-to-documentation pattern, e troubleshooting format consistency.”
Esempio di workflow
Input: “Voglio email commerciali che convertono per software SaaS B2B”
Template Setup:
Scrivi email commerciali ad alta conversione per software SaaS B2B.
ESEMPIO 1:
Input: Cold email per CFO, software financial reporting
Output:
Subject: Cut monthly reporting from 3 days to 3 hours
Hi [Name],
Spoke with [mutual connection] who mentioned you're still manually consolidating P&L reports from multiple systems.
Quick question: How much time does your team spend each month pulling numbers from different tools?
Most CFOs I work with say 2-3 days minimum. We've helped companies like [similar company] automate this to 3 hours with real-time dashboards.
Worth a 15-minute conversation to see if it makes sense for [Company]?
Best,
[Signature]
ESEMPIO 2:
Input: Follow-up email dopo demo, procurement software
Output:
Subject: Next steps for [Company]'s procurement transformation
Hi [Name],
Great meeting you and the team yesterday. Three key takeaways:
1. Current manual approval process costs ~40 hours/week of admin time
2. Budget visibility is critical for Q2 planning
3. Integration with existing ERP is non-negotiable
Based on your requirements, here's what I propose:
→ Pilot with your largest department (Marketing)
→ 30-day implementation timeline
→ ROI target: 50% admin time reduction
I've attached a custom proposal with pricing. Available this week for any questions?
Best,
[Signature]
ESEMPIO 3:
Input: Riattivazione cliente perso, CRM software
Output:
Subject: What changed since last year?
Hi [Name],
Noticed you're not using [Product] anymore - what shifted?
Last time we spoke, lead management was your biggest pain point. Has that been solved, or just pushed to the back burner?
If it's still an issue, we've launched some features that might interest you:
- AI lead scoring (requested by 90% of customers)
- Slack integration for instant notifications
- One-click pipeline creation
15 minutes to show you what's new? No pressure if priorities changed.
Best,
[Signature]
Ora, usando lo stesso stile, pattern e qualitĂ degli esempi sopra:
Input: Cold email per CTO, cybersecurity software, ha appena subito un breach
Output: [AI genererĂ email seguendo il pattern degli esempi]
Esempio di risultato
AI Output seguendo il pattern:
Subject: Preventing the next security incident
Hi [Name],
Saw the news about [Company]'s recent incident. Hope the team is managing the response well.
Quick question: What's your biggest concern for preventing this from happening again?
Most CTOs I work with say it's the gap between detection and response time. The average breach goes undetected for 287 days.
We've helped companies like [similar size] reduce that to 12 minutes with automated threat response.
Worth discussing how to strengthen your security posture while you're rebuilding trust?
Best,
[Signature]
Tips per risultati migliori
- Quality examples: Gli esempi sono tutto - use your best work, non content mediocre
- Pattern consistency: Assicurati che tutti gli esempi seguano same structure/style per clear learning
- Diverse scenarios: Varia gli input examples per teach flexibility mentre maintaining pattern
- Incremental refinement: Start con 2-3 esempi, aggiungi altri se l’output non è perfect
Template correlati
- prmpt.onl/006 - Tutor Personalizzato per learning pattern explanation
- prmpt.onl/103 - Role-playing Avanzato per character consistency
- prmpt.onl/106 - Quality Amplification per example improvement
📖 Da “Prompt Engineering: Il Nuovo Skill” di Marco Milani
đź”— Tutti i template: prmpt.onl/index
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Ultimo aggiornamento: 24 Gennaio 2025