Description de l'illustration call_endpoint.png
L'image est une capture du paragraphe 10, composée d'un script python, d'une invite et d'une réponse.
Code Python :
#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
Invite :
prompt =
Provide a succinct answer to the following question:
How did RAPIDS cuDF integrate GPU hash maps, and what benefits did it offer?
Réponse :
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?```