Meringkas dan mengedit teks

Bekerja dengan OpenAI API

James Chapman

Curriculum Manager, DataCamp

Rekap...

Tanya Jawab

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", "content": "How many days are in October?"}]
)

print(response.choices[0].message.content)

October has 31 days.

Pengeditan teks

Contoh: memperbarui nama, pronomina, dan jabatan

prompt = """
Update name to Maarten, pronouns to he/him, and job title to Senior Content Developer
in the following text:

Joanne is a Content Developer at DataCamp. Her favorite programming language is R,
which she uses for her statistical analyses.
"""

Pengeditan teks

response = client.chat.completions.create(
    model="gpt-4o-mini",

    messages=[{"role": "user", "content": prompt}]

)

print(response.choices[0].message.content)

Maarten adalah Senior Content Developer di DataCamp. Bahasa pemrograman favoritnya
adalah R, yang ia gunakan untuk analisis statistiknya.

Perangkuman teks

Contoh: ringkasan transkrip chat pelanggan

Tim dukungan pelanggan

text = """
Customer: Hi, I'm trying to log into 
my account, but it keeps saying 
my password is incorrect. I'm sure 
I'm entering the right one.  

Support: I'm sorry to hear that! 
Have you tried resetting your password?  
...
"""

Perangkuman teks

prompt = f"""Summarize the customer support chat 
             in three concise key points: {text}"""


response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", "content": prompt}]
)
print(response.choices[0].message.content)

1. Pelanggan tidak bisa masuk karena masalah sandi dan tautan reset hilang.  
2. Dukungan mengirim ulang email reset setelah memastikan sudah dikirim.  
3. Pelanggan menyelesaikan masalah dengan masuk lewat Google.

Mengatur panjang respons

max_completion_tokens = 5

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", 
  "content": "Write a haiku about AI."}],
  max_completion_tokens=5
)

AI so powerful
Computers

max_completion_tokens = 30

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", 
  "content": "Write a haiku about AI."}],
  max_completion_tokens=30
)

A machine mind thinks
Logic dictates its choices
Mankind ponders anew

Memahami token

Token: unit teks yang membantu AI memahami dan menafsirkan teks

Kalimat, "How can the OpenAI API deliver business value?" dengan tiap token disorot warna berbeda.

¹ https://platform.openai.com/tokenizer

Menghitung biaya

Biaya penggunaan bergantung pada model dan jumlah token 💰
- Harga model berdasarkan biaya/token
- Token input dan output bisa berbeda biaya
Menaikkan max_completion_tokens menaikkan biaya 📈

Screenshot 2025-03-05 at 11.46.54.png

Menghitung biaya

prompt = f"""Summarize the customer support chat 
             in three concise key points: {text}"""

max_completion_tokens = 500

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", "content": prompt}], 
  max_completion_tokens=max_completion_tokens
  )

Menghitung biaya

# Define price per token
input_token_price = 0.15 / 1_000_000
output_token_price = 0.6 / 1_000_000

# Extract token usage
input_tokens = response.usage.prompt_tokens

output_tokens = max_completion_tokens

# Calculate cost
cost = (input_tokens * input_token_price + output_tokens * output_token_price)
print(f"Estimated cost: ${cost}")

Estimated cost: $0.00124

¹ https://openai.com/pricing

Ayo berlatih!

Bekerja dengan OpenAI API