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1Z0-1127-24 Practice Questions

1Z0-1127-24 Practice Questions

Question# 1

In LangChain, which retriever search type is used to balance between relevancy and diversity?

Question# 2

What does a dedicated RDMA cluster network do during model fine - tuning and inference?

Question# 3

Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?

Question# 4

Which is a distinguishing feature of "Parameter - Efficient Fine - tuning (PEFT)" as opposed to classic Tine - tuning" in Large Language Model training?

Question# 5

How does the Retrieval - Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model's response?

Note:

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1Z0-1127-24 Practice Questions

1Z0-1127-24 Practice Questions

Question# 1

In LangChain, which retriever search type is used to balance between relevancy and diversity?

Question# 2

What does a dedicated RDMA cluster network do during model fine - tuning and inference?

Question# 3

Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?

Question# 4

Which is a distinguishing feature of "Parameter - Efficient Fine - tuning (PEFT)" as opposed to classic Tine - tuning" in Large Language Model training?

Question# 5

How does the Retrieval - Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model's response?

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