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By using massive datasets and billions of parameters, llms have transformed the way humans interact with technology. They have significant differences in their functionality and applications. Large language models (llms) are a category of deep learning models trained on immense amounts of data, making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks.
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An llm is a type of ai model designed to understand and generate human language Artificial intelligence (ai), machine learning (ml), large language models (llms), and generative ai are all related concepts in the field of computer science, but there are important distinctions between them How a large language model works an llm analyzes large amounts of text to provide relevant, informative answers
Unlike a search engine that lists results, an llm responds to user requests with fully crafted answers in natural language
Role of training data training data is collected by data scientists and programmers to train ml models. Before they're ready for use and can answer your questions, llms are trained on massive datasets. So, what is an llm
