NCA-GENL 무료 덤프문제 온라인 액세스

In the field of AI experimentation, what is the GLUE benchmark used to evaluate performance of?

• A.AI models on image recognition tasks.
• B.AI models on speech recognition tasks.
• C.AI models on a range of natural language understanding tasks.
• D.AI models on reinforcement learning tasks.

When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?

• A.ReLU is more computationally efficient, but sigmoid is better for predicting probabilities.
• B.ReLU is less computationally efficient than sigmoid, but it is more accurate than sigmoid.
• C.ReLU is a linear function while sigmoid is non-linear.
• D.ReLU and sigmoid both have a range of 0 to 1.

Which of the following is an activation function used in neural networks?

• A.Sigmoid function
• B.K-means clustering function
• C.Mean Squared Error function
• D.Diffusion function

In transformer-based LLMs, how does the use of multi-head attention improve model performance compared to single-head attention, particularly for complex NLP tasks?

• A.Multi-head attention reduces the model's memory footprint by sharing weights across heads.
• B.Multi-head attention eliminates the need for positional encodings in the input sequence.
• C.Multi-head attention allows the model to focus on multiple aspects of the input sequence simultaneously.
• D.Multi-head attention simplifies the training process by reducing the number of parameters.

What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)

• A.Increase the number of CPU cores.
• B.Upgrade the GPU to a higher-end model.
• C.Increase the clock speed of the CPU.
• D.Using techniques like memory pooling.