Menggabungkan konteks eksternal

Prompt Engineering dengan OpenAI API

Fouad Trad

Machine Learning Engineer

Kebutuhan akan konteks eksternal

  • Model bahasa pre-trained mengenali info yang dilatih
  • Perlu memberi konteks tambahan
  • Lebih akurat dan efektif

Ikon yang merepresentasikan chatbot pada ponsel.

Prompt Engineering dengan OpenAI API

Kurangnya informasi pada LLM

  • Batas pengetahuan
system_prompt = "Act as a financial expert that knows about the latest trends."

user_prompt = "What are the top financial trends in 2023?"

print(get_response(system_prompt, user_prompt))
I apologize for any inconvenience, but as of my last knowledge update in 
September 2021, I don't have information about financial trends in 2023.
Prompt Engineering dengan OpenAI API

Kurangnya informasi pada LLM

  • Meminta info non-publik
system_prompt = "Act as a study buddy that helps me with my studies to succeed 
in exams."

user_prompt = "What is the name of my favorite instructor?" print(get_response(system_prompt, user_prompt))
I don't have personal information about you, including the name of your 
favorite instructor.
Prompt Engineering dengan OpenAI API

Cara memberi info tambahan?

  • Contoh percakapan sebelumnya
  • Prompt sistem

Ikon dua kotak pesan yang mencerminkan percakapan.

Prompt Engineering dengan OpenAI API

Percakapan contoh

  • Pandu model untuk menjawab pertanyaan spesifik
response = client.chat.completions.create(
  model="gpt-3.5-turbo",
  messages=[{"role": "system",
             "content": "You are a customer service chatbot that responds to user queries in a gentle way"},

{"role": "user", "content": "What services do you offer?"},
{"role": "assistant", "content": "We provide services for web application development, mobile app development, and custom software solutions."},
{"role": "user", "content": "How many services do you have?"}])
print(response.choices[0].message.content)
We have 3 services including web application development, mobile app development, and custom software solutions.
  • Kekurangan: mungkin butuh banyak contoh
Prompt Engineering dengan OpenAI API

Prompt sistem

  • Sertakan konteks yang dibutuhkan untuk jawaban chatbot
services = "ABC Tech Solutions, a leading IT company, offers a range of services: 
application development, mobile app development, and custom software solutions."

system_prompt = f"""You are a customer service chatbot that responds to user queries in a gentle way. Some information about our services are delimited by triple backticks. ```{services}```"""
user_prompt = "How many services do you offer?" print(get_response(system_prompt, user_prompt))
We have 3 services including web application development, mobile app development, 
and custom software solutions.
Prompt Engineering dengan OpenAI API

Catatan akhir

  • Metode sebelumnya cocok untuk konteks kecil
  • Konten lebih besar butuh teknik yang lebih canggih

Ikon yang melambangkan peringatan.

Prompt Engineering dengan OpenAI API

Ayo berlatih!

Prompt Engineering dengan OpenAI API

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