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Knowledge quiz

It’s time to put what you’ve learned to the test, get 6 questions right to pass this unit.

Q1.

What is the primary goal of the Retrieval Augmented Generation (RAG) approach?

Choose the correct answer.

To provide the model access to up-to-date, domain-specific information

To reduce the size of large language models

To eliminate the need for any external knowledge base

To simplify the model's architecture

Q2.

What is the primary purpose of fine-tuning a Large Language Model (LLM)?

Choose the correct answer.

To reduce the size of the model for easier deployment

For quick iterations on a new use case

To introduce new knowledge to the model

To customize the model for specific tasks by continuing the training process on a new data set

Q3.

What do functions do in the context of LLMs?

There are two correct answers.

Improve the performance of LLM on specific use cases

Manage the interaction between user and LLM

Translate user input into prompts for LLM

Provide access to external data sources

Q4.

How does the SAP HANA Cloud vector engine add more context to generative AI scenarios?

Choose the correct answer.

By integrating frameworks like LangChain

By providing a high-performance vector store

By storing and analyzing vector embeddings

By processing and comparing vector data

Q5.

When is fine-tuning not ideal?

Choose the correct answer.

When eliminating harmful content

When providing quick iterations on a new use case

When introducing new knowledge to a model

When customizing outputs for specific types of inputs

Q6.

What role do agents play in optimizing Large Language Model (LLM) performance?

Choose the correct answer.

They are used to debug and inspect LLM output.

They enhance the user experience by offering code completion.

They provide additional data sources and perform complex calculations.

They act as bridges between humans and LLMs, translating user input into prompts and interpreting outputs.

Q7.

What is the SAP HANA Cloud vector engine designed to handle?

Choose the correct answer.

Image data

Structured data

Text data

Unstructured vector data