Shot prompting

Praca z API OpenAI

James Chapman

Curriculum Manager, DataCamp

Podawanie przykładów

Robot patrzy na przykłady

Shot prompting

Czym jest shot prompting?

Shot prompting: dodawanie przykładów, które kierują odpowiedziami AI

Zero-shot: brak przykładów, tylko instrukcje
One-shot: jeden przykład kieruje odpowiedzią
Few-shot: kilka przykładów dostarcza więcej kontekstu

Reprezentacja od zero do few-shot

Dlaczego shot prompting ma znaczenie?

✅ Zastosowania shot prompting:

📑 Klasyfikacja tekstu
💬 Analiza sentymentu
🔍 Ekstrakcja danych
✨ ... i wiele więcej!

Zastosowania shot prompting

Zero-shot prompting

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)

One-shot prompting

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

Few-shot prompting

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

Ogólna kategoryzacja

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

Czas na ćwiczenia!

Praca z API OpenAI