A large language model is a type of machine learning model that is trained on very large collections of text. From this training it learns statistical patterns in language, allowing it to understand prompts and generate coherent, context-aware text. It is not a storage service, a data-compression algorithm, or a vision model, so those statements do not match the definition of an LLM.
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What datasets are typically used to train large language models (LLMs)?
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How do large language models generate coherent text?
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What key technologies are used in large language models like GPT?
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What is the training process of a large language model (LLM)?
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How does a large language model differ from traditional AI models?
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What are common applications of large language models in AI?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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