Llama MCQs with answers Page - 3

Here, you will find a collection of MCQ questions on Llama. Go through these questions to enhance your preparation for upcoming examinations and interviews.

To check the correct answer, simply click the View Answer button provided for each question.

Have your own questions to contribute? Click the button below to share your MCQs with others!

+ Add Question

A

Arogya • 2.57K Points
Extraordinary

Q. What is LoRA in relation to LLaMA?

  • (A) A GPU driver
  • (B) A lightweight fine-tuning technique
  • (C) A dataset
  • (D) A tokenizer

A

Arogya • 2.57K Points
Extraordinary

Q. Which hardware is commonly used to run larger LLaMA models efficiently?

  • (A) GPU
  • (B) Printer
  • (C) Scanner
  • (D) Keyboard

A

Arogya • 2.57K Points
Extraordinary

Q. What does 'context window' in LLaMA refer to?

  • (A) The screen size
  • (B) Maximum number of tokens the model can consider at once
  • (C) Internet bandwidth
  • (D) Training dataset size

A

Arogya • 2.57K Points
Extraordinary

Q. Which technique helps reduce hallucinations in LLaMA systems?

  • (A) RAG (Retrieval Augmented Generation)
  • (B) Data deletion
  • (C) Disk defragmentation
  • (D) Overclocking CPU

A

Arogya • 2.57K Points
Extraordinary

Q. Running LLaMA on a personal computer without internet is called:

  • (A) Cloud inference
  • (B) Local inference
  • (C) Edge deletion
  • (D) Remote execution

A

Arogya • 2.57K Points
Extraordinary

Q. Which library is commonly used to run LLaMA models locally in C/C++?

  • (A) NumPy
  • (B) llama.cpp
  • (C) Spring Boot
  • (D) Angular

A

Arogya • 2.57K Points
Extraordinary

Q. What does parameter count (e.g., 7B, 13B) in LLaMA represent?

  • (A) Internet speed
  • (B) Number of neural network weights
  • (C) Hard disk capacity
  • (D) Number of users

A

Arogya • 2.57K Points
Extraordinary

Q. Why are smaller LLaMA models useful?

  • (A) They only generate images
  • (B) They run on low-resource devices
  • (C) They require supercomputers
  • (D) They replace operating systems

A

Arogya • 2.57K Points
Extraordinary

Q. What is prompt engineering when using LLaMA?

  • (A) Designing hardware circuits
  • (B) Writing effective input instructions
  • (C) Training GPUs
  • (D) Database optimization

A

Arogya • 2.57K Points
Extraordinary

Q. Which application commonly uses LLaMA models?

  • (A) Chatbots
  • (B) Video compression
  • (C) Antivirus scanning
  • (D) Disk formatting

Add MCQ in this Category

If you want to share an MCQ question in this category, it's a great idea! It will be helpful for many other students using this website.

Share Your MCQ

Browse Categories

Click on category to learn MCQs of that category.