Notebook LM Quiz

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Quiz on Notebook LM basics

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Selene Vega

México

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Froggy Jumps Notebook LM QuizVersión en línea Quiz on Notebook LM basics por Selene Vega 1 What does 'LM' stand for in Notebook LM? a Longitudinal Metric b Language Model c Lightweight Machine 2 Which tool is commonly used to run notebooks for LM experiments? a Jupyter b PowerPoint c Photoshop 3 In LLMs, what is a prompt? a Compiled program b Input text guiding the model c Model weights 4 Which method helps steer outputs without fine-tuning? a Data cleaning b Backpropagation c Prompt engineering 5 What does the temperature parameter control? a Output length b Learning rate c Randomness of generated text 6 What is few-shot learning in this context? a Providing a few examples in the prompt b Full retraining c Zero data used 7 Which metric asks how well a model predicts the next token? a BLEU b Accuracy c Perplexity 8 What is a token in NLP terms? a A type of neuron b A color value c A basic unit of text 9 What does fine-tuning mean for a model? a Removing layers b Adapting on domain data c Freezing all layers 10 Why use notebooks for LM experiments? a Only for scripts b No advantage c Interactivity and visualization

Froggy Jumps

Notebook LM QuizVersión en línea

Quiz on Notebook LM basics

por Selene Vega

What does 'LM' stand for in Notebook LM?

Longitudinal Metric

Language Model

Lightweight Machine

Which tool is commonly used to run notebooks for LM experiments?

Jupyter

PowerPoint

Photoshop

In LLMs, what is a prompt?

Compiled program

Input text guiding the model

Model weights

Which method helps steer outputs without fine-tuning?

Data cleaning

Backpropagation

Prompt engineering

What does the temperature parameter control?

Output length

Learning rate

Randomness of generated text

What is few-shot learning in this context?

Providing a few examples in the prompt

Full retraining

Zero data used

Which metric asks how well a model predicts the next token?

BLEU

Accuracy

Perplexity

What is a token in NLP terms?

A type of neuron

A color value

A basic unit of text

What does fine-tuning mean for a model?

Removing layers

Adapting on domain data

Freezing all layers

Why use notebooks for LM experiments?

Only for scripts

No advantage

Interactivity and visualization

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Notebook LM Quiz

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Creada por

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Froggy Jumps

Notebook LM QuizVersión en línea

por Selene Vega

What does 'LM' stand for in Notebook LM?

Which tool is commonly used to run notebooks for LM experiments?

In LLMs, what is a prompt?

Which method helps steer outputs without fine-tuning?

What does the temperature parameter control?

What is few-shot learning in this context?

Which metric asks how well a model predicts the next token?

What is a token in NLP terms?

What does fine-tuning mean for a model?

Why use notebooks for LM experiments?

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