response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3",
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: controls assistant's behavior
User: instruct the assistant
Assistant: response to user instruction
Providing examples
Steer model in the right direction
Providing assistant messages is a more structured form of shot-prompting
Example: Python Programming Tutor
Example user questions and answers
Providing examples
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3",
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?"}]
)
The response
print(response.choices[0].message.content)
Mutable objects can be changed after creation (like lists), while immutable objects cannot
(like tuples or strings).
Experiment with the number of examples
System vs. assistant vs. user
System → important template formatting
Output the information in this format:
name | age | occupation
Assistant → example conversations
User → context required for the new input (often single-turn)
Create a job advert for an AI Engineer. Use this job advert as a template:
Job Title: Data Engineer
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