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 el comportamiento del assistant
User: instruye al assistant
Assistant: responde a la instrucción del user
Dar ejemplos
Guiar al modelo en la dirección correcta
Dar mensajes de assistant es una forma más estructurada de shot-prompting
Ejemplo: Tutor de Programación en Python
Preguntas y respuestas de ejemplo
Dar ejemplos
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?"}]
)
La respuesta
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).
Experimenta con el número de ejemplos
System vs. assistant vs. user
System → formato de plantilla importante
Output the information in this format:
name | age | occupation
Assistant → conversaciones de ejemplo
User → contexto necesario para la nueva entrada (a menudo de un solo turno)
Create a job advert for an AI Engineer. Use this job advert as a template:
Job Title: Data Engineer
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