Tag: NLP
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Tokenization
Definition and Overview: In the context of artificial intelligence (AI) and natural language processing (NLP), tokenization refers to the process of breaking text into smaller units called tokens. These tokens are the basic building blocks that AI models work with, and they can range from whole words to subword fragments or even single characters. For…
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Natural Language Processing (NLP)
Definition of NLP Natural Language Processing (NLP) is a branch of artificial intelligence (AI) and computer science that focuses on the interaction between computers and human language. In simple terms, NLP enables machines to understand, interpret, process, and generate human (natural) languages, both text and speech, in a way that is useful and meaningful. Achieving…
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Large Language Model (LLM)
Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like language. They belong to a class of foundation models – AI models trained on immense amounts of text data that give them broad capabilities across many tasks. Instead of being narrowly programmed for one purpose, an LLM learns from billions…
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Inference (in AI)
Inference in artificial intelligence (AI) refers to the process by which an AI system draws conclusions or makes decisions based on available information, knowledge, or patterns, especially when facing data it has not seen before. In essence, it is the step where an AI applies what it has learned to new inputs, analogous to a…