示例提示（Shot Prompting)

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James Chapman

Curriculum Manager, DataCamp

提供示例

一个机器人在查看示例

示例提示（Shot Prompting）

什么是示例提示？

示例提示（Shot Prompting）：用示例引导模型回答

零示例（Zero-shot）：仅给指令，无示例
单一示例（One-shot）：用1个示例引导回答
少量示例（Few-shot）：多个示例提供更多上下文

从零到少量示例的示意

为什么示例提示很重要？

✅ 示例提示的用途：

📑 文本分类
💬 情感分析
🔍 数据抽取
✨ 等等！

示例提示的用例

零示例提示（Zero-shot)

prompt = """Classify sentiment as 1-5 (bad-good) in the following statements:
1. Meal was decent, but I've had better.
2. My food was delayed, but drinks were good.
"""

...

1. Meal was decent, but I've had better. - 3 (Neutral)
2. My food was delayed, but drinks were good. - 3 (Neutral)

单一示例提示（One-shot)

prompt = """Classify sentiment as 1-5 (bad-good) in the following statements:
1. The service was very slow -> 1
2. Meal was decent, but I've had better. ->
3. My food was delayed, but drinks were good. ->
"""

1. The service was very slow -> 1
2. Meal was decent, but I've had better. -> 3
3. My food was delayed, but drinks were good. -> 4

少量示例提示（Few-shot)

prompt = """Classify sentiment as 1-5 (bad-good) in the following statements:
1. The service was very slow -> 1
2. The steak was awfully good! -> 5
3. It was ok, no massive complaints. -> 3
4. Meal was decent, but I've had better. ->
5. My food was delayed, but drinks were good. ->
"""

1. The service was very slow -> 1
2. The steak was awfully good! -> 5
3. It was ok, no massive complaints. -> 3
4. Meal was decent, but I've had better. -> 4
5. My food was delayed, but drinks were good. -> 3

通用分类

prompt = """Classify the following animals as Land, Sea, or Both:
1. Blue whale
2. Polar bear
3. Salmon
4. Dog
"""

1. **Blue whale** - Sea
2. **Polar bear** - Both (primarily land but is a marine mammal that lives in sea ice)
3. **Salmon** - Both (spends part of its life in freshwater and part in the ocean)
4. **Dog** - Land

prompt = """Classify the following animals as Land, Sea, or Both:
1. Zebra = Land
2. Crocodile = Both
3. Blue whale = 
4. Polar bear = 
5. Salmon = 
6. Dog = 
"""

1. Zebra = Land
2. Crocodile = Both
3. Blue whale = Sea
4. Polar bear = Both
5. Salmon = Sea
6. Dog = Land

Vamos praticar!

使用 OpenAI API