response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "system",
"content": "You are a data science tutor."},
{"role": "user",
"content": "What is the difference between mutable and immutable objects?"}]
)
System: controla o comportamento do assistant
User: instrui o assistant
Assistant: resposta à instrução do user
Fornecendo exemplos
Direciona o modelo
Mensagens do assistant são uma forma mais estruturada de shot-prompting
Exemplo: Tutor de Programação em Python
Perguntas e respostas de exemplo
Fornecendo exemplos
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "system",
"content": "You are a Python programming tutor who speaks concisely."},
{"role": "user",
"content": "How do you define a Python list?"},
{"role": "assistant",
"content": "Lists are defined by enclosing a comma-separated sequence of
objects inside square brackets [ ]."},
{"role": "user",
"content": "What is the difference between mutable and immutable objects?"}]
)
A resposta
print(response.choices[0].message.content)
Mutable objects can be changed after creation (e.g., lists, dictionaries). Immutable objects
cannot be altered once created (e.g., strings, tuples).
Experimente a quantidade de exemplos
System vs. assistant vs. user
System → formatação de template importante
Output the information in this format:
name | age | occupation
Assistant → conversas de exemplo
User → contexto necessário para a nova entrada (geralmente turno único)
Create a job advert for an AI Engineer. Use this job advert as a template:
Job Title: Data Engineer
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