Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. BERT T5 (Text-to-Text Transfer Transformer) : Introduced by Google in 2020 , T5 reframes all NLP tasks as a text-to-text problem, using a unified text-based format.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Towards AI

JUNE 12, 2024

It all started with Word2Vec and N-Grams in 2013 as the most recent in language modelling. Both BERT and GPT are based on the Transformer architecture. Both BERT and GPT are based on the Transformer architecture. 2013 Word2Vec is a neural network model that uses n-grams by training on context windows of words.

BERT 105

BERT Neural Network Natural Language Processing NLP 105

Towards AI

APRIL 12, 2023

All of these companies were founded between 2013–2016 in various parts of the world. Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers).

LLM 97

LLM BERT NLP OpenAI 97

Sebastian Ruder

AUGUST 18, 2019

2013 ) learned a single representation for every word independent of its context. In contrast, current models like BERT-Large and GPT-2 consist of 24 Transformer blocks and recent models are even deeper. Multilingual BERT in particular has been the subject of much recent attention ( Pires et al., 2019 ; Wu and Dredze, 2019 ).

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 2 ] Multilingual models perform worse on several NLP tasks on low resource languages than on high resource languages such as English.[

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Lexalytics

APRIL 5, 2021

This is the sort of representation that is useful for natural language processing. ELMo would also be the first of the Muppet-themed language models that would come to include ERNIE [ 120 ], Grover [ 121 ]….and The base model of BERT [ 103 ] had 12 (!) layers of bidirectional Transformers.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

The Stanford AI Lab Blog

MAY 31, 2022

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. To achieve this, we first chunk each document into segments of roughly 256 tokens, which is half of the maximum BERT LM input length.

BERT 40

BERT Natural Language Processing NLP Neural Network 40