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  1. Natural Language Processing (NLP) models12:
    • Interpret human language.
    • Combine computational linguistics, statistical modeling, machine learning, and deep learning.
    • Enable computers to recognize, understand, and generate text and speech.
    Learn more:
    Natural language processing (NLP) is a method computer programs can use to interpret human language. NLP is one type of artificial intelligence (AI). Modern NLP models are mostly built via machine learning, and also draw on the field of linguistics — the study of the meaning of language.
    www.cloudflare.com/learning/ai/natural-language-p…
    NLP enables computers and digital devices to recognize, understand and generate text and speech by combining computational linguistics—the rule-based modeling of human language—together with statistical modeling, machine learning (ML) and deep learning.
    www.ibm.com/topics/natural-language-processing
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  6. Natural language processing - Wikipedia

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    Learn the basic and advanced concepts of NLP and how to implement them using spaCy, Gensim, HuggingFace and NLTK. See practical examples of text pre-processing, tokenization, sentiment analysis, text classification and more.

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    Mar 19, 2024 · Learn what natural language processing (NLP) is, how it works, and why it matters for AI and human-computer interaction. Explore common NLP techniques, benefits, limitations, and examples, as well as online courses and …

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    Feb 13, 2024 · Fine-tuning Large Language Models (LLMs) has revolutionized Natural Language Processing (NLP), offering unprecedented capabilities in tasks like language translation, sentiment analysis, and text generation.