Explosion

DECEMBER 28, 2019

The update fixed outstanding bugs on the tracker, gave the docs a huge makeover, improved both speed and accuracy, made installation significantly easier and faster, and added some exciting new features, like ULMFit/BERT/ELMo-style language model pretraining. ✨ Mar 20: A few days later, we upgraded Prodigy to v1.8 to support spaCy v2.1.

NLP 52

NLP BERT Machine Learning Python 52

Sebastian Ruder

OCTOBER 26, 2019

In particular, I cover unsupervised deep multilingual models such as multilingual BERT. Joint models The most prominent example in this line of work is multilingual BERT (mBERT), a BERT-base model that was jointly trained on the corpora of 104 languages with a shared vocabulary of 110k subword tokens. 2019 ; Wu et al.,

BERT 52

BERT NLP Neural Network Natural Language Processing 52

AWS Machine Learning Blog

JUNE 6, 2023

This post further walks through a step-by-step implementation of fine-tuning a RoBERTa (Robustly Optimized BERT Pretraining Approach) model for sentiment analysis using AWS Deep Learning AMIs (AWS DLAMI) and AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2 p4d.24xlarge) torch.compile + bf16 + fused AdamW.

ML 72

ML Deep Learning BERT Python 72

Sebastian Ruder

DECEMBER 6, 2021

Reading Comprehension assumes a gold paragraph is provided Standard approaches for reading comprehension build on pre-trained models such as BERT. Using BERT for reading comprehension involves fine-tuning it to predict a) whether a question is answerable and b) whether each token is the start and end of an answer span.

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. This cat does not exist. All the rage was about algorithms for classification.

Neural Network 52

Neural Network Data Science AI AI 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” For the first instance type, they ran fine-tuning for the BERT Large model on the full Yelp review dataset, using the BF16 data format with the maximum sequence length supported by the model (512). The union of advances in hardware and ML has led us to the current day.

ML 86

ML Deep Learning Algorithm Large Language Models 86

Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. The momentum continued in 2017 with the introduction of transformer models like BERT and GPT, which revolutionized natural language processing. The necessary hardware, software, and data storage costs were very high.

AI 147

AI AI Neural Network Natural Language Processing 147

Bugra Akyildiz

AUGUST 10, 2024

Large models like GPT-3 (175B parameters) or BERT-Large (340M parameters) can be reduced by 75% or more. Running BERT models on smartphones for on-device natural language processing requires much less energy due to resource constrained in smartphones than server deployments. million per year in 2014 currency) in Shanghai.

BERT 59

BERT Large Language Models Categorization Deep Learning 59

Viso.ai

MARCH 29, 2024

Modern Structured Knowledge: The term “knowledge graph” came into popularity in 2012 following its adoption by Google’s search engine, highlighting a knowledge fusion framework known as the Knowledge Vault (Google Knowledge Graph) for constructing large-scale knowledge graphs.

ML 52

ML Deep Learning BERT NLP 52