Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. in 2017, marking a departure from the previous reliance on recurrent neural networks (RNNs) and convolutional neural networks (CNNs) for processing sequential data.

Large Language Models 124

Large Language Models NLP Convolutional Neural Networks Neural Network 124

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

Neural Network 158

Neural Network Convolutional Neural Networks BERT Deep Learning 158

Mlearning.ai

APRIL 8, 2023

With the rise of deep learning (deep learning means multiple levels of neural networks) and neural networks, models such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) began to be used in NLP. 2018) “ Language models are few-shot learners ” by Brown et al.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. They are based on the transformer architecture, which was originally proposed for natural language processing (NLP) in 2017.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Pragnakalp

JANUARY 1, 2024

Transformer models are a type of neural network architecture designed to process sequential material, such as sentences or time-series data. Transformer technology has also heralded generative pretrained transformers (GPTs) and Bidirectional Encoder Representations from Transformers (BERT)."}

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 52

Snorkel AI

MARCH 1, 2023

BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Lexalytics

APRIL 5, 2021

This subjective impression is objectively backed up by the heat map below, constructed from a dump of the Microsoft Academic Graph (MAG) circa 2017 [ 21 ]. Since the MAG database petered out around 2017, I filled out the rest of the timeline with topics I knew were important. In this case, it was more like “shut up and optimize”.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52