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6 followers study24x7 19 Mar 2026 11:53 AM study24x7 study24x7

What is prompt injection in LLM security?

A

Dataset compression

B

Manipulating prompts to bypass model safeguards

C

Tokenization error

D

Overfitting

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6 followers study24x7 19 Mar 2026 11:49 AM study24x7 study24x7

Which metric is commonly used to evaluate language models?

A

Accuracy

B

Perplexity

C

Mean Squared Error

D

Precision

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6 followers study24x7 19 Mar 2026 11:46 AM study24x7 study24x7

What is the main advantage of Transformers over CNNs in NLP tasks?

A

Lower memory usage

B

Ability to model long-range dependencies

C

Faster tokenization

D

Fewer parameters

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6 followers study24x7 18 Mar 2026 12:29 PM study24x7 study24x7

What is LoRA (Low-Rank Adaptation)?

A

Tokenization algorithm

B

Method for efficient fine-tuning of LLMs

C

Optimization algorithm

D

Attention mechanism

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6 followers study24x7 18 Mar 2026 12:28 PM study24x7 study24x7

What is parameter-efficient fine-tuning (PEFT)?

A

Training only a small subset of parameters

B

Increasing dataset size

C

Removing model layers

D

Training from scratch

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6 followers study24x7 18 Mar 2026 12:27 PM study24x7 study24x7

In diffusion models, what happens during the forward process?

A

Noise is gradually removed

B

Noise is gradually added to data

C

Data is classified

D

Tokens are encoded

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6 followers study24x7 17 Mar 2026 10:45 AM study24x7 study24x7

What is the main objective of a Variational Autoencoder (VAE)?

A

Classification

B

Clustering

C

Learning latent representations for data generation

D

Feature scaling

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6 followers study24x7 17 Mar 2026 10:44 AM study24x7 study24x7

Which generative model architecture is commonly used for image synthesis?

A

GAN

B

Decision Tree

C

Logistic Regression

D

KNN

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6 followers study24x7 17 Mar 2026 10:43 AM study24x7 study24x7

What is the purpose of the decoder in Transformer architecture?

A

Generate output sequences

B

Reduce input dimensions

C

Train the model

D

Remove noise

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6 followers study24x7 16 Mar 2026 12:09 PM study24x7 study24x7

Why is beam search used in language generation?

A

Reduce training time

B

Explore multiple candidate sequences

C

Compress datasets

D

Reduce model parameters

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6 followers study24x7 16 Mar 2026 12:08 PM study24x7 study24x7

What does the “temperature” parameter control in text generation?

A

Model training speed

B

Output randomness

C

Dataset size

D

Number of parameters

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6 followers study24x7 16 Mar 2026 12:04 PM study24x7 study24x7

What is the primary role of positional encoding in Transformers?

A

Increase model depth

B

Provide sequence order information

C

Reduce computation cost

D

Improve tokenization

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6 followers study24x7 13 Mar 2026 03:44 PM study24x7 study24x7

Which equation represents the scaled dot-product attention?

A

Softmax(QKᵀ)V

B

Softmax(QKᵀ / √dₖ)V

C

QKᵀV

D

Softmax(KQᵀ)V

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6 followers study24x7 13 Mar 2026 03:43 PM study24x7 study24x7

What is the purpose of the attention mechanism in Transformer models?

A

Reduce dataset size

B

Focus on relevant parts of the input sequence

C

Eliminate neural networks

D

Increase tokenization speed

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6 followers study24x7 13 Mar 2026 02:45 PM study24x7 study24x7

What is the main risk of autonomous generative agents?

A

Low accuracy

B

Uncontrolled decision-making

C

Slow inference

D

Overfitting only

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6 followers study24x7 12 Mar 2026 12:44 PM study24x7 study24x7

Which approach limits harmful outputs at inference time?

A

Pretraining

B

Post-training filters and guardrails

C

Larger datasets

D

Token expansion

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6 followers study24x7 12 Mar 2026 12:43 PM study24x7 study24x7

What is red-teaming in AI safety?

A

Model pruning

B

Stress-testing models for harmful behavior

C

Faster deployment

D

Data labeling

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6 followers study24x7 12 Mar 2026 12:43 PM study24x7 study24x7

Why is bias a concern in generative AI?

A

Models are too slow

B

Training data reflects societal biases

C

Models lack parameters

D

Bias improves accuracy

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6 followers study24x7 11 Mar 2026 12:32 PM study24x7 study24x7

What is alignment in LLMs?

A

Matching hardware with software

B

Ensuring outputs align with human values and intent

C

Reducing model size

D

Token alignment

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6 followers study24x7 11 Mar 2026 12:31 PM study24x7 study24x7

Classifier-free guidance is used to:

A

Improve training speed

B

Control generation quality without external classifiers

C

Reduce dataset size

D

Remove noise completely

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