Question 1

What is "in-context learning" in the realm of large Language Models (LLMs)?

Options :

A : Teaching a mode! through zero-shot learning

B : Training a model on a diverse range of tasks

C : Modifying the behavior of a pretrained LLM permanently

D : Providing a few examples of a target task via the input prompt

Answer: D

Question 2

What role do Transformers perform in Large Language Models (LLMs)?

Options :

A : Limit the ability of LLMs to handle large datasets by imposing strict memory constraints

B : Manually engineer features in the data before training the model

C : Provide a mechanism to process sequential data in parallel and capture long-range dependencies

D : Image recognition tasks in LLMs

Answer: C

Question 3

Which feature of OCI Speech helps make transcriptions easier to read and understand?

Options :

A : Audio tuning

B : Timestamping

C : Profanity filtering

D : Text normalization

Answer: D

Question 4

What is the primary purpose of reinforcement learning?

Options :

A : Finding relationships within data sets

B : Identifying patterns in data

C : Making predictions from labeled data

D : Learning from outcomes to make decisions

Answer: D

Question 5

Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

Options :

A : Active learning

B : Unsupervised learning

C : Reinforcement learning

D : Supervised learning

Answer: B

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