Decide Fast & Get 50% Flat Discount on This Summer Discount offer | Limited Time Offer - Ends In COUPON CODE: Summer50

Home
Dumps
Oracle
1Z0-1127-25

Practice Oracle 1Z0-1127-25 Exam Questions

1. Page: 1/18
  Total 88 Questions
Question No 1

What is the role of temperature in the decoding process of a Large Language Model (LLM)?

Choose the Choices:

To increase the accuracy of the most likely word in the vocabulary

To determine the number of words to generate in a single decoding step

To decide to which part of speech the next word should belong

To adjust the sharpness of probability distribution over vocabulary when selecting the next word

D
Question No 2

Which statement accurately reflects the differences between these approaches in terms of the number of parameters modified and the type of data used?

Choose the Choices:

Fine - tuning and continuous pretraining both modify all parameters and use labeled, task - specific data.

Parameter Efficient Fine - Tuning and Soft Prompting modify all parameters of the model using unlabeled data.

Fine - tuning modifies all parameters using labeled, task - specific data, whereas Parameter Efficient Fine - Tuning updates a few, new parameters also with labeled, task - specific data.

Soft Prompting and continuous pretraining are both methods that require no modification to the original parameters of the model.

C
Question No 3

What is prompt engineering in the context of Large Language Models (LLMs)?

Choose the Choices:

Iteratively refining the ask to elicit a desired response

Adding more layers to the neural network

Adjusting the hyperparameters of the model

Training the model on a large dataset

A
Question No 4

What does the term "hallucination" refer to in the context of Large Language Models (LLMs)?

Choose the Choices:

The model's ability to generate imaginative and creative content

A technique used to enhance the model's performance on specific tasks

The process by which the model visualizes and describes images in detail

The phenomenon where the model generates factually incorrect information or unrelated content as if it were true

D
Question No 5

What does in - context learning in Large Language Models involve?

Choose the Choices:

Pretraining the model on a specific domain

Training the model using reinforcement learning

Conditioning the model with task - specific instructions or demonstrations

Adding more layers to the model

C
1. Page: 1/18
  Total 88 Questions
  
  Buy Now Latest Questions
Full Access
1Z0-1127-25 Exam Features

In Just $69 Access Your All Questions

All Official Question Types

Interactive Web-Based Practice Test Software

No Installation or 3rd Party Software Required

Practice your Exam Questions (Free Demo)

24/7 Customer Support

Buy Now
Full Access
1Z0-1127-25 PDF Dumps

In Just $ Access All PDF Questions

All Official Question Types

PDF Practice Questions & Answers

Printable & Portable Format

Download PDF Questions (Free Demo)

24/7 Customer Support

Buy Now