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🤖 Data & AI

LLMs & transformers

Attention, tokens, context windows, RAG and hallucination — how modern language models actually behave.

8questions

harddifficulty

+16max XP (1st try)

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Question 1 of 8

Self-attention lets a transformer:

Question 2 of 8

Why do transformers need positional encodings?

Question 3 of 8

A language model's context window is:

Question 4 of 8

Retrieval-augmented generation (RAG) reduces hallucination by:

Question 5 of 8

Raising the sampling temperature makes output:

Question 6 of 8

Tokens are:

Question 7 of 8

Fine-tuning is usually the wrong tool when you need:

Question 8 of 8

An embedding is:

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