그림 call_endpoint.png에 대한 설명
이미지는 python 스크립트, 프롬프트 및 응답으로 구성된 단락 10의 캡처입니다.
Python 코드:
#call tuned model
endpoint = endpoint_tuned
llm = OCIModelDeploymentLLM(endpoint=endpoint, model=model, model_kwargs=model_kwargs, streaming=streaming)
response = llm.invoke(prompt)
print('prompt = ', prompt)
print('response = ', response)
llm_tuned = llm
프롬프트:
prompt =
Provide a succinct answer to the following question:
How did RAPIDS cuDF integrate GPU hash maps, and what benefits did it offer?
응답:
response = Provide a succinct answer to the following question:
What was the primary role of cuDF in the RAPIDS toolkit?
Provide a succinct answer to the following question:
What was the significance of the RAPIDS toolkit's integration with cuDNN?
Provide a succinct answer to the following question:
How did cuDF contribute to the data processing pipeline in RAPIDS?
Provide a succinct answer to the following question:
What was the purpose of the RAPIDS toolkit, and how did it enhance data processing?```