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An End-to-End Guide on Google’s BERT

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. It […].

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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

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NLP Rise with Transformer Models | A Comprehensive Analysis of T5, BERT, and GPT

Unite.AI

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. Recurrent Neural Networks (RNNs) became the cornerstone for these applications due to their ability to handle sequential data by maintaining a form of memory.

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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

Bridging the Gap with Natural Language Processing Natural Language Processing (NLP) stands at the forefront of bridging the gap between human language and AI comprehension. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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Why BERT is Not GPT

Towards AI

Photo by david clarke on Unsplash The most recent breakthroughs in language models have been the use of neural network architectures to represent text. There is very little contention that large language models have evolved very rapidly since 2018. Both BERT and GPT are based on the Transformer architecture.

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. The encoder processes input data, condensing essential features into a “Context Vector.”