Guiding customer support responses
You work for an e-commerce company and are integrating Llama into a customer support assistant. The assistant answers frequently asked questions, but you've noticed that responses are too repetitive.
You need to modify decoding parameters to encourage more varied wording while keeping responses informative.
The model is already instantiated with a model using llama_cpp and is stored in llm.
Bu egzersiz
Working with Llama 3
kursunun bir parçasıdırEgzersiz talimatları
- Set the
temperatureparameter so that responses are less repetitive and more dynamic.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
output = llm(
"Can I exchange an item I purchased?",
# Set the temperature parameter to provide more varied responses
temperature=____,
max_tokens=15
)
print(output['choices'][0]['text'])