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Dialogue processing (chatbot) an llm can be turned into a chatbot or a dialog assistant by specializing it for conversation At its core, a large language model (llm) is a model trained using deep learning algorithms and capable of a broad range of natural language processing (nlp) tasks, such as sentiment analysis, conversational question answering, text translation, classification, and generation. In essence, user input is prefixed with a marker such as q: or user: and the llm is asked to predict the output after a fixed a: or assistant:.
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. Many llms are trained on data that has been gathered from the internet — thousands or millions of gigabytes' worth of text. Before they're ready for use and can answer your questions, llms are trained on massive datasets.
In simpler terms, an llm is a computer program that has been fed enough examples to be able to recognize and interpret human language or other types of complex data
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