Getting models to think
Time to make the switch from chat models to reasoning models! These are great for deeper reasoning tasks like data analysis, code debugging, math, or research.
In this exercise, you'll use reasoning models to solve a typical math problem that might be presented to high-school math students.
> math_problem
Calculate the area of a house in m^2 comprised of two rooms of sizes 3mx2m and 4mx5m.
This exercise is part of the course
Working with DeepSeek in Python
Exercise instructions
- Create a request to send the
math_problemprompt to the"deepseek-ai/DeepSeek-R1"model via the Chat Completions endpoint.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
client = OpenAI(api_key="", base_url="https://api.together.xyz/v1")
# Create a request to the chat model
response = client.chat.completions.____(
model="deepseek-ai/____",
max_tokens=400,
messages=[
{"role": "user",
"content": ____}]
)
print(response.choices[0].message.content)