構造化出力と条件付きプロンプト
OpenAI API で学ぶプロンプトエンジニアリング
Fouad Trad
Machine Learning Engineer
構造化出力
- LLM は明確な指示があるときのみ構造化出力を生成
- 出力の構造:
- 表
- リスト
- 構造化段落
- カスタム形式
表
- 期待する列を明示する
prompt = "Generate a table containing 5 movies I should watch if I am an action
lover, with columns for Title and Rating."
print(get_response(prompt))
| Title | Rating |
|---------------------------------|--------|
| Mad Max: Fury Road | 8.1 |
| John Wick | 7.4 |
| The Dark Knight | 9.0 |
| Die Hard | 8.2 |
| Gladiator | 8.5 |
リスト
- 列挙に便利
prompt = "Generate a list containing the names of the top 5 cities to visit."
print(get_response(prompt))
1. Tokyo, Japan
2. Paris, France
3. Rome, Italy
4. New York City, United States
5. Sydney, Australia
リスト
- 番号付けの要件はプロンプトで指定
prompt = "Generate an unordered list containing the names of the top 5 cities to visit."
print(get_response(prompt))
- Paris, France
- Tokyo, Japan
- Rome, Italy
- New York City, United States
- Sydney, Australia
構造化された段落
- 構造要件をプロンプトで明示
prompt = "Provide a structured paragraph with clear headings and subheadings
about the benefits of regular exercise on overall health and well-being."
print(get_response(prompt))
構造化された段落
I. はじめに
規則的な運動は健康と幸福の維持に不可欠です。 [...]
II. 身体的メリット
a. 体重管理：定期的な運動は [...]
b. 慢性疾患リスクの低下：運動は [...]
c. 筋力・柔軟性の向上：継続的な運動は筋力を高め [...]
III. メンタルヘルスのメリット
a. ストレス・不安の軽減：運動は [...]
b. 睡眠の質向上：定期的な運動は睡眠パターンの改善と関連し [...]
c. 脳機能の向上：研究では運動が認知機能を高めることが示され [...]
カスタム出力形式
text = "Once upon a time in a quaint little village, there lived a curious young boy named David. David was [...]"instructions = "You will be provided with a text delimited by triple backticks. Generate a suitable title for it. "output_format = """Use the following format for the output: - Text: <text we want to title> - Title: <the generated title>"""prompt = instructions + output_format + f"```{text}```" print(get_response(prompt))
- Text: Once upon a time in a quaint little village, there lived a curious young boy [...]
- Title: The Extraordinary Adventure of David and the Mysterious Book
条件付きプロンプト
- ロジックや条件を組み込む
- 条件付きプロンプトは if-else 形式
条件付きプロンプト
text = "Le printemps est ma saison préférée. Quand les premières fleurs commencent
à éclore, et que les arbres se parent de feuilles vertes et tendres, je me sens
revivre [...] "
prompt = f"""You will be provided with a text delimited by triple backticks.
If the text is written in English, suggest a suitable title for it.
Otherwise, write 'I only understand English'.
```{text}```"""
print(get_response(prompt))
I only understand English
条件付きプロンプト
- 複数条件を組み込める
text = "In the heart of the forest, sunlight filters through the lush green canopy,
creating a tranquil atmosphere [...] "
prompt = f"""You will be provided with a text delimited by triple backticks.
If the text is written in English, check if it contains the keyword 'technology'.
```{text}```"""
print(get_response(prompt))
条件付きプロンプト
- 複数条件を組み込める
text = "In the heart of the forest, sunlight filters through the lush green canopy,
creating a tranquil atmosphere [...] "
prompt = f"""You will be provided with a text delimited by triple backticks.
If the text is written in English, check if it contains the keyword 'technology'.
If it does, suggest a suitable title for it, otherwise, write 'Keyword not found'.
```{text}```"""
print(get_response(prompt))
条件付きプロンプト
- 複数条件を組み込める
text = "In the heart of the forest, sunlight filters through the lush green canopy,
creating a tranquil atmosphere [...] "
prompt = f"""You will be provided with a text delimited by triple backticks.
If the text is written in English, check if it contains the keyword 'technology'.
If it does, suggest a suitable title for it, otherwise, write 'Keyword not found'.
If the text is not written in English, reply with 'I only understand English'.
```{text}```"""
print(get_response(prompt))
Keyword not found
Passons à la pratique !
OpenAI API で学ぶプロンプトエンジニアリング
