
AI Quiz - Perplexity
Authored by Sabilashan Ganeshan
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Professional Development

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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What does “GPT” stand for in models like GPT-4?
Generative Pre-Trained Transformer
General Purpose Transformer
Generative Predictive Transformer
Generalized Pre-Trained Tokenizer
2.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
Which paper introduced the transformer architecture that powers most modern LLMs?
Sequence to Sequence Learning with LSTM
Attention Is All You Need
Neural Machine Translation by Joint Attention
Deep Bidirectional Transformers for Language Understanding
3.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
In a Retrieval-Augmented Generation (RAG) pipeline, the retriever’s job is to:
Rank responses from multiple models
Cache frequently asked questions
Retrieve external documents relevant to a user query
Generate contextual embeddings from retrieved data
4.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What’s the main advantage of calling AI APIs through Next.js API routes instead of directly from the client?
Reduces frontend bundle size
Prevents token overuse automatically
Keeps API keys secure and off the client side
Doubles the response speed
5.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
Which of the following best describes the softmax layer in a transformer?
Balances token frequencies in context
Converts raw logits into probability distributions
Normalizes embeddings before training
Controls gradient clipping
6.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What’s the goal of RLHF in large language models?
Reduce model size through quantization
Increase training stability by freezing layers
Fine-tune model weights for factual accuracy
Reinforce model outputs that align with human preferences
7.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
In LangChain, what does a Chain enable?
Combining multiple reasoning steps or tools in sequence
Generating real-time embeddings from prompts
Storing long-term user memory
Caching embeddings for faster retrieval
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