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7 Modules
What is the primary purpose of a Large Language Model (LLM)?
To generate human-like text based on input prompts
To perform numerical calculations
To classify images
To translate languages
Which of the following techniques is commonly used in training Large Language Models?
Reinforcement Learning
Supervised Learning
Unsupervised Learning
Transfer Learning
What is the significance of the 'transformer' architecture in LLMs?
It allows for parallel processing of data
It is primarily used for image recognition
It improves the model's ability to understand context
It reduces the model size significantly
Which of the following are common applications of Large Language Models?
Chatbots
Sentiment Analysis
Image Generation
Text Summarization
What is 'fine-tuning' in the context of LLMs?
Training a model from scratch
Adjusting a pre-trained model on a specific task
Reducing the model size
Improving the model's training speed
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7 Modules