What are some examples of pre-trained AI models?
Some popular examples include BERT, GPT-3, and ResNet. They are used for various tasks like NLP and image recognition.
How does BERT improve natural language understanding?
BERT uses a transformer architecture to understand context in language by considering the entire sentence rather than just individual words.
Can you explain how GPT-3 generates text?
GPT-3 generates text by predicting the next word in a sentence based on the context of the previous words, using a vast dataset for training.
What are the advantages of using pre-trained models?
Pre-trained models save time and resources, improve performance on specific tasks, and require less data for fine-tuning.
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