Generative AI LLM v1.0

Which metric is commonly used to evaluate machine-translation models?

You have developed a deep learning model for a recommendation system. You want to evaluate the performance of the model using A/B testing. What is the rationale for using A/B testing with deep learning model performance?

In the evaluation of Natural Language Processing (NLP) systems, what do ‘validity’ and ‘reliability’ imply regarding the selection of evaluation metrics?

What metrics would you use to evaluate the performance of a RAG workflow in terms of the accuracy of responses generated in relation to the input query? (Choose two.)

What is the Open Neural Network Exchange (ONNX) format used for?

You are in need of customizing your LLM via prompt engineering, prompt learning, or parameter efficient fine-tuning. Which framework helps you with all of these?

Which of the following is a feature of the Nvidia Triton Inference Server?

Which of the following claims is correct about Tensor-RT and ONNX?

Which of the following claims is correct about quantization in the context of Deep Learning? (Choose two.)

Which of the following optimizations are provided by TensorRT? (Choose two.)

What is the purpose of the NVIDIA NGC catalog?

Imagine you are training an LLM consisting of billions of parameters and your training dataset is significantly larger than the available RAM in your system. Which of the following would be an alternative?

When implementing data parallel training, which of the following considerations needs to be taken into account?

“Hallucinations” is a term coined to describe when LLM models produce what?