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test LLMs UPDATED ACTUAL Exam Questions and CORRECT Answers

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test LLMs UPDATED ACTUAL Exam Questions and CORRECT Answers What is an LLM? - CORRECT ANSWER - A type of artificial intelligence that can generate human-like text and perform various natural language processing tasks. What do LLMs learn from? - CORRECT ANSWER - Massive datasets of text and code. Name a task LLMs can perform related to emotions. - CORRECT ANSWER - Analyze sentiment. What kind of text formats can LLMs generate? - CORRECT ANSWER - Poems, code, scripts, musical pieces, emails, letters, etc

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test LLMs UPDATED ACTUAL Exam
Questions and CORRECT Answers
What is an LLM? - CORRECT ANSWER - A type of artificial intelligence that can generate
human-like text and perform various natural language processing tasks.


What do LLMs learn from? - CORRECT ANSWER - Massive datasets of text and code.



Name a task LLMs can perform related to emotions. - CORRECT ANSWER - Analyze
sentiment.


What kind of text formats can LLMs generate? - CORRECT ANSWER - Poems, code,
scripts, musical pieces, emails, letters, etc.


Which translation tool uses an LLM? - CORRECT ANSWER - Google Translate.



Name a popular LLM developed by OpenAI. - CORRECT ANSWER - GPT-3.



What is Bard capable of? - CORRECT ANSWER - Answering questions informatively and
generating creative text formats.


How are LLMs generally accessed? - CORRECT ANSWER - As a service over an API or web
interface.


What does GPT-3 use to match prompts? - CORRECT ANSWER - Special "grammar".



What components make up the architecture of LLMs? - CORRECT ANSWER - Embedding
layers, recurrent layers, feedforward layers, and attention layers.

, What does the embedding layer in an LLM do? - CORRECT ANSWER - Converts each word
in the input text into a high-dimensional vector representation.


What is the function of recurrent layers in LLMs? - CORRECT ANSWER - Interpret
information from the input text in sequence.


What purpose does the attention mechanism in LLMs serve? - CORRECT ANSWER - Allows
the model to focus selectively on different parts of the input text.


Name a popular LLM with 175 billion parameters. - CORRECT ANSWER - GPT-3.



Who developed BERT? - CORRECT ANSWER - Google.



What's unique about XLNet's approach to language modeling? - CORRECT ANSWER -
Permutation language modeling.


What transformations can T5 perform? - CORRECT ANSWER - Text-to-text transformations.



Who developed RoBERTa? - CORRECT ANSWER - Facebook AI Research.



Name an open-source LLM that is larger than GPT-3. - CORRECT ANSWER - Bloom.



How many natural languages can Bloom generate text in? - CORRECT ANSWER - 46.



In how many programming languages can Bloom generate text? - CORRECT ANSWER - 13.



What is Bloom's main architectural difference from GPT-3? - CORRECT ANSWER - It has
been trained in a wider range of languages.

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