In the transformer architecture, what is the purpose of positional encoding?

• A.To remove redundant information from the input sequence.
• B.To encode the semantic meaning of each token in the input sequence.
• C.To add information about the order of each token in the input sequence.
• D.To encode the importance of each token in the input sequence.

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What distinguishes BLEU scores from ROUGE scores when evaluating natural language processing models?

• A.BLEU scores determine the fluency of text generation, while ROUGE scores rate the uniqueness of generated text.
• B.BLEU scores analyze syntactic structures, while ROUGE scores evaluate semantic accuracy.
• C.BLEU scores evaluate the 'precision' of translations, while ROUGE scores focus on the 'recall' of summarized text.
• D.BLEU scores measure model efficiency, whereas ROUGE scores assess computational complexity.

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When deploying an LLM using NVIDIA Triton Inference Server for a real-time chatbot application, which optimization technique is most effective for reducing latency while maintaining high throughput?

• A.Increasing the model's parameter count to improve response quality.
• B.Enabling dynamic batching to process multiple requests simultaneously.
• C.Reducing the input sequence length to minimize token processing.
• D.Switching to a CPU-based inference engine for better scalability.

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What is 'chunking' in Retrieval-Augmented Generation (RAG)?

• A.Rewrite blocks of text to fill a context window.
• B.A method used in RAG to generate random text.
• C.A concept in RAG that refers to the training of large language models.
• D.A technique used in RAG to split text into meaningful segments.

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You are working on developing an application to classify images of animals and need to train a neural model.
However, you have a limited amount of labeled data. Which technique can you use to leverage the knowledge from a model pre-trained on a different task to improve the performance of your new model?

• A.Dropout
• B.Random initialization
• C.Transfer learning
• D.Early stopping

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