शॉट प्रॉम्प्टिंग

Python में DeepSeek के साथ काम करना

James Chapman

AI Curriculum Lead, DataCamp

उदाहरण देना

एक रोबोट उदाहरण देख रहा है

शॉट प्रॉम्प्टिंग

शॉट प्रॉम्प्टिंग क्या है?

शॉट प्रॉम्प्टिंग: AI के उत्तर मार्गदर्शन के लिए उदाहरण जोड़ना

ज़ीरो-शॉट: कोई उदाहरण नहीं, सिर्फ निर्देश
वन-शॉट: एक उदाहरण उत्तर को दिशा देता है
फ्यू-शॉट: कई उदाहरण अधिक संदर्भ देते हैं

ज़ीरो से फ्यू शॉट का चित्रण

शॉट प्रॉम्प्टिंग क्यों मायने रखता है?

✅ शॉट प्रॉम्प्टिंग के उपयोग:

📑 टेक्स्ट वर्गीकरण
💬 सेंटिमेंट एनालिसिस
🔍 डेटा एक्सट्रैक्शन
✨ ... और भी बहुत कुछ!

शॉट प्रॉम्प्टिंग के उपयोग

ज़ीरो-शॉट प्रॉम्प्टिंग

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

वन-शॉट प्रॉम्प्टिंग

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

फ्यू-शॉट प्रॉम्प्टिंग

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

अभ्यास करते हैं!

Python में DeepSeek के साथ काम करना