response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V4.1-Flash",
messages=[{"role": "system",
"content": "You are a Python programming tutor who responds using concise,
one-sentence explanations."},
{"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
Orienta el modelo en la dirección correcta
Dar mensajes del 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="deepseek-ai/DeepSeek-V4.1-Flash",
messages=[{"role": "system",
"content": "You are a Python programming tutor who responds using concise,
one-sentence explanations."},
{"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 (like lists), while immutable objects cannot
(like tuples or strings).
Prueba 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)
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