What does the RAG Sequence model do in the context of generating a response?

1. A. It retrieves a single relevant document for the entire input query and generates a response based on that alone.
2. B. For each input query, it retrieves a set of relevant documents and considers them together to generate a cohesive response.
3. C. It retrieves relevant documents only for the initial part of the query and ignores the rest.
4. D. It modifies the input query before retrieving relevant documents to ensure a diverse response.

Correct Answer: B

Which statement is true about Fine-tuning and Parameter-Efficient Fine-Tuning (PEFT)?

1. A. Fine-tuning requires training the entire model on new data, often leading to substantial computational costs, whereas PEFT involves updating only a small subset of parameters, minimizing computational requirements and data needs.
2. B. PEFT requires replacing the entire model architecture with a new one designed specifically for the new task, making it significantly more data-intensive than Fine-tuning.
3. C. Both Fine-tuning and PEFT require the model to be trained from scratch on new data, making them equally data and computationally intensive.
4. D. Fine-tuning and PEFT do not involve model modification; they differ only in the type of data used for training, with Fine-tuning requiring labeled data and PEFT using unlabeled data.

Correct Answer: A

Why is normalization of vectors important before indexing in a hybrid search system?

1. A. It ensures that all vectors represent keywords only.
2. B. It significantly reduces the size of the database.
3. C. It standardizes vector lengths for meaningful comparison using metrics such as Cosine Similarity.
4. D. It converts all sparse vectors to dense vectors.

Correct Answer: C

Which is a distinctive feature of GPUs in Dedicated AI Clusters used for generative AI tasks?

1. A. GPUs are shared with other customers to maximize resource utilization.
2. B. The GPUs allocated for a customer??s generative AI tasks are isolated from other GPUs.
3. C. GPUs are used exclusively for storing large datasets, not for computation.
4. D. Each customer's GPUs are connected via a public Internet network for ease of access.

Correct Answer: B

How does the utilization of T-Few transformer layers contribute to the efficiency of the fine- tuning process?

1. A. By incorporating additional layers to the base model
2. B. By allowing updates across all layers of the model
3. C. By excluding transformer layers from the fine-tuning process entirely
4. D. By restricting updates to only a specific group of transformer layers

Correct Answer: D