Shot yönlendirme

Python ile DeepSeek Kullanımı

James Chapman

Curriculum Manager, DataCamp

Örnekler sağlama

Bir robot örneklere bakıyor

Shot yönlendirme

Shot yönlendirme nedir?

Shot yönlendirme: Yanıtları yönlendirmek için örnekler eklemek

Sıfır örnek (zero-shot): Yalnızca talimat, örnek yok
Tek örnek (one-shot): Bir örnek yanıtı yönlendirir
Birkaç örnek (few-shot): Birden çok örnek daha fazla bağlam sağlar

Sıfırdan birkaç örneğe gösterim

Shot yönlendirme neden önemlidir?

✅ Shot yönlendirmenin kullanım alanları:

📑 Metin sınıflandırma
💬 Duygu analizi
🔍 Veri çıkarma
✨ ... ve daha fazlası!

Shot yönlendirmenin kullanım alanları

Sıfır örnekli (zero-shot) yönlendirme

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. 3  
2. 2

Tek örnekli (one-shot) yönlendirme

prompt = """Classify sentiment as 1-5 (bad-good) in the following statements. Return no
explanations:
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. ->
"""

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

Birkaç örnekli (few-shot) yönlendirme

prompt = """Classify sentiment as 1-5 (bad-good) in the following statements. Return no
explanations:
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. ->
"""

4. Meal was decent, but I've had better. -> 3  
5. My food was delayed, but drinks were good. -> 2

Hadi pratik yapalım!

Python ile DeepSeek Kullanımı