Explosion

MAY 17, 2023

But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them? We want to aggregate it, link it, filter it, categorize it, generate it and correct it. We want to recommend people text based on other text they liked.

LLM 135

LLM NLP Large Language Models OpenAI 135

Towards AI

SEPTEMBER 26, 2023

Back when BERT and GPT2 were first revolutionizing natural language processing (NLP), there was really only one playbook for fine-tuning. You had to be very careful with fine-tuning because of catastrophic forgetting.

BERT 52

BERT Natural Language Processing Large Language Models Categorization 52

Snorkel AI

MARCH 1, 2023

2018) This paper introduced BERT, a language model that uses bidirectional context to better understand the meaning of words in a sentence. The company is best known for NLP tools, but also enables the use of computer vision, audio, and multimodal models. Attention Is All You Need Vaswani et al.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. That size is quaint according to modern comparisons. Better” is relative.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. That size is quaint according to modern comparisons. Better” is relative.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Sebastian Ruder

NOVEMBER 14, 2022

At the same time, a wave of NLP startups has started to put this technology to practical use. I will be focusing on topics related to natural language processing (NLP) and African languages as these are the domains I am most familiar with. This post takes a closer look at how the AI community is faring in this endeavour.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Explosion

AUGUST 1, 2019

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. It features consistent and easy-to-use interfaces to several models, which can extract features to power your NLP pipelines. apple2 = nlp("Apple sold fewer iPhones this quarter.") print(apple1[0].similarity(apple2[0]))

BERT 52

BERT NLP Neural Network Categorization 52

Explosion

MARCH 17, 2019

Most NLP projects are easier if you have a way to train models on exactly your data. Language model pretraining By far the biggest news in NLP research over 2018 was the success of language model pretraining. In 2018, a number of papers showed that a simple language modelling objective worked well for LSTM models.

NLP 52

NLP Python Neural Network Natural Language Processing 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Parallel computing Parallel computing refers to carrying out multiple processes simultaneously, and can be categorized according to the granularity at which parallelism is supported by the hardware.

ML 98

ML Deep Learning Algorithm Large Language Models 98

deepsense.ai

NOVEMBER 14, 2023

This disruptive tendency manifests every few months and shows no sign of slowing down, with the recent releases of Llama 2 [25] and Mistral [26] (the great hopes of open source NLP [27, 28]) and two proprietary game-changers seemingly just around the corner: Gemini [29] and GPT-5 [30]. There is a ‘but’, however. Eskanazi M., Galstyan A.

Generative AI 111

Generative AI Prompt Engineer Prompt Engineering ML 111

Unite.AI

AUGUST 8, 2023

LaMDA Google 173 billion Not Open Source, No API or Download Trained on dialogue could learn to talk about virtually anything MT-NLG Nvidia/Microsoft 530 billion API Access by application Utilizes transformer-based Megatron architecture for various NLP tasks. How Are LLMs Used? However, relying on a single attention mechanism can be limiting.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

AUGUST 7, 2023

As an added inherent challenge, natural language processing (NLP) classifiers are historically known to be very costly to train and require a large set of vocabulary, known as a corpus , to produce accurate predictions. Due to the sequential nature of text, recurrent neural networks (RNNs) had been the state of the art for NLP modeling.

Large Language Models 87

Large Language Models LLM BERT NLP 87

IBM Journey to AI blog

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

AI 316

AI AI Artificial Intelligence Artificial Intelligence 316