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WorksheetsFoundation Models Quiz
Total questions: 10
Worksheet time: 5mins
What is a foundation model?
A model trained for a single, narrow task
A small model used for initialization
A large pre-trained model adaptable to multiple tasks
A model specifically for reinforcement learning
Which of the following is a foundation model?
SVM
ResNet-18
GPT-4
k-NN
Foundation models are usually trained using:
Supervised learning only
Unsupervised or self-supervised learning on massive data
Reinforcement learning
Small labeled datasets
What enables foundation models to generalize across tasks?
Task-specific optimization
Handcrafted features
Large-scale training on diverse data
Shallow architecture
Which of the following is a challenge in foundation models?
Lack of scalability
Inability to pre-train
Hallucination and bias
Too few parameters
What is fine-tuning in the context of foundation models?
Reducing model parameters
Training from scratch
Adapting a pre-trained model to a specific task
Testing the model performance
Which of the following foundation models is designed for both vision and language tasks?
YOLO
BERT
CLIP
DeepSpeech
What is a key capability of foundation models that makes them effective across multiple tasks?
Fixed architecture and parameters
Extensive use of labeled datasets only
Pre-training on broad data followed by task-specific adaptation
Limitation to supervised learning methods
Which of the following is a key benefit of using foundation models?
Require labeled data only
Cannot generalize
Reusability across domains
Low accuracy on NLP tasks
A foundation model like GPT is primarily based on which architecture?
CNN
RNN
Decision Trees
Transformer
