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  1. BERT (language model) - Wikipedia

    Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1][2] It learns to represent text as a sequence of …

  2. BERT Model - NLP - GeeksforGeeks

    Sep 11, 2025 · BERT (Bidirectional Encoder Representations from Transformers) leverages a transformer-based neural network to understand and generate human-like language. BERT …

  3. BERT 101 - State Of The Art NLP Model Explained - Hugging Face

    Mar 2, 2022 · BERT, short for Bidirectional Encoder Representations from Transformers, is a Machine Learning (ML) model for natural language processing. It was developed in 2018 by …

  4. A Complete Introduction to Using BERT Models

    May 15, 2025 · In the following, we’ll explore BERT models from the ground up — understanding what they are, how they work, and most importantly, how to use them practically in your projects.

  5. A Complete Guide to BERT with Code - Towards Data Science

    May 13, 2024 · Bidirectional Encoder Representations from Transformers (BERT) is a Large Language Model (LLM) developed by Google AI Language which has made significant …

  6. What Is the BERT Model and How Does It Work? - Coursera

    Jul 23, 2025 · BERT is a deep learning language model designed to improve the efficiency of natural language processing (NLP) tasks. It is famous for its ability to consider context by …

  7. BERT applications in natural language processing: a review

    Mar 15, 2025 · This review study examines the complex nature of BERT, including its structure, utilization in different NLP tasks, and the further development of its design via modifications.

  8. BERT Explained: A Simple Guide - ML Digest

    This article explores what BERT is, how it works, its architecture, applications, advantages, limitations, and future developments in the field of NLP. Before delving into BERT, it’s …

  9. What Is Google’s BERT and Why Does It Matter? - NVIDIA

    BERT is a model for natural language processing developed by Google that learns bi-directional representations of text to significantly improve contextual understanding of unlabeled text …

  10. BERT Language Model: How it Transforms NLP - dhiwise.com

    Apr 10, 2025 · BERT stands for Bidirectional Encoder Representations from Transformers, and its architecture is built on the Transformer model. The key difference between BERT and earlier …