Geração de texto

Trabalhando com DeepSeek em Python

James Chapman

AI Curriculum Lead, DataCamp

Como a saída é gerada?

  • Texto mais provável para completar a conversa
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro",

messages=[{"role": "user", "content": "Hi! I'm James and I'm a Curriculum Manager at DataCamp."}]
) print(response.choices[0].message.content)
Hi James! It's great to meet you. As a **Curriculum Manager at DataCamp**, you must
play a key role in shaping the learning experience for data science and analytics
students. How can I assist you today?
  • A resposta é não determinística (intrinsecamente aleatória)
Trabalhando com DeepSeek em Python

Um chatbot de suporte ao cliente recebendo dois pedidos semanticamente similares.

Trabalhando com DeepSeek em Python

Controlando a aleatoriedade da resposta

  • temperature: controla o grau de determinismo de 0 (bem determinístico) a 2 (bem aleatório)
  • Ignorado silenciosamente quando o raciocínio está ativado → desative para usá-lo
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro",
    extra_body={"thinking": {"type": "disabled"}},
    messages=[{"role": "user",
             "content": "Hi! I'm James and I'm a Curriculum Manager at DataCamp."}],

temperature=2
) print(response.choices[0].message.content)
Hi James! Welcome to DataCamp - it's great to connect with someone who works on
shaping learning experiences for data skills. What does your role typically involve
as a Curriculum Manager at **DataCamp?** Perhaps one-on95 kWielpulses.Z.blog.from...
Trabalhando com DeepSeek em Python

Geração de texto: marketing

prompt = "Generate a powerful tagline for a new electric vehicle 
that highlights innovation and sustainability."
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro",
    messages=[{"role": "user", "content": prompt}]
)

print(response.choices[0].message.content)
**"Drive the Future - Zero Emissions, Infinite Innovation."**  
This tagline captures the essence of cutting-edge technology and eco-conscious...
Trabalhando com DeepSeek em Python

Limpando respostas

prompt = "Generate a powerful tagline for a new electric vehicle 
that highlights innovation and sustainability. Return only the tagline
without formatting."

# Create a request to the chat model
# ...
"Drive the Future - Clean, Smart, Electric."
Trabalhando com DeepSeek em Python

Geração de texto: descrição de produto

prompt = """Write a compelling e-commmerce product description for the UltraFit
Smartwatch in paragraph form. Highlight its key features:

10-day battery life, 24/7 heart rate and sleep tracking, built-in GPS, water
resistance up to 50 meters, and lightweight design.

Use a persuasive and engaging tone to appeal to fitness enthusiasts and busy
professionals.
"""

response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V4-Pro", messages=[{"role": "user", "content": prompt}])
Trabalhando com DeepSeek em Python

Geração de texto: descrição de produto

print(response.choices[0].message.content)
"The UltraFit Smartwatch is your all-in-one health and fitness companion. 
Stay on top of your wellness with 24/7 heart rate and sleep tracking, 
while the built-in GPS keeps you on course during runs. 
With a 10-day battery life, you can track your progress without constant recharging. 
Designed for both workouts and daily wear, its  lightweight build and 50-meter
water resistance make it the perfect smartwatch for an active lifestyle."
  • Itere! Adicione mais detalhes ao prompt e execute de novo
  • Próximo vídeo → fornecendo exemplos ao modelo
Trabalhando com DeepSeek em Python

Vamos praticar!

Trabalhando com DeepSeek em Python

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