Conversor de JSON para Few-Shot Prompt
Converta conjuntos de dados JSON em prompts de aprendizado Few-Shot perfeitamente formatados.
Conversor de JSON para Few-Shot Prompt
Converta conjuntos de dados JSON em prompts Few-Shot estruturados para ChatGPT, Claude e APIs de IA.
You are an AI classifier. Analyze incoming inputs and output the classification matching the exact structure demonstrated in the few-shot examples below.
--- FEW-SHOT EXAMPLES ---
[Example 1]
User: The battery lasts only 2 hours and overheats constantly.
Assistant: Negative (Category: Hardware/Battery)
[Example 2]
User: Customer support resolved my refund in under 5 minutes. Amazing service!
Assistant: Positive (Category: Customer Support)
[Example 3]
User: The package arrived on time, standard cardboard box, nothing special.
Assistant: Neutral (Category: Delivery)
--- END OF EXAMPLES ---
User: {{YOUR_INPUT_HERE}}
Assistant:Visão Geral
Converta arrays JSON em prompts Few-Shot com suporte a tags XML, Markdown e JSON da OpenAI.
JSON to Few-Shot Prompt Converter Guide
Few-Shot Prompting supplies demonstration pairs to guide the model's internal representations without weight updates.
Converting raw JSON datasets into structured prompt syntax manually is time-consuming and error-prone.
This tool automatically translates JSON test sets into Claude XML blocks, markdown examples, or OpenAI message arrays.
How to Convert JSON to Few-Shot Prompts
Rápido & IntuitivoPaste JSON Dataset
Provide an array of objects containing input and expected output fields.
Choose Prompt Syntax
Select Claude XML, Dialogue, Markdown, or OpenAI messages JSON.
Export & Test
Copy the compiled few-shot prompt into your application or system prompt.
Recursos Principais e Vantagens
Sem envio para servidores. Segurança absoluta dos seus dados.
Processamento instantâneo em tempo real.
Sem planos pagos, cadastros ou assinaturas.
Acesso perfeito em smartphones, tablets e computadores.
Processamento cliente seguro acelerado por hardware com padrões W3C.
- Include diverse examples covering common scenarios and negative/boundary conditions.
- For reasoning-heavy tasks, include step-by-step thinking demonstrations in your output field.
Perguntas Frequentes
2 Perguntas e RespostasWhy use Few-Shot over Zero-Shot?
Demonstrations enforce strict styling and eliminate formatting misunderstandings in structured extraction tasks.
Does this work with nested JSON objects?
Yes, objects and arrays are stringified cleanly inside the prompt.
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