Unite.AI

NOVEMBER 8, 2023

One-hot encoding is a process by which categorical variables are converted into a binary vector representation where only one bit is “hot” (set to 1) while all others are “cold” (set to 0). GPT Architecture Here's a more in-depth comparison of the T5, BERT, and GPT models across various dimensions: 1.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Unite.AI

MAY 29, 2024

Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text. Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

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. In a recent talk at Google Berlin, Jacob Devlin described how Google are using his BERT architectures internally. We provide an example component for text categorization.

BERT 52

BERT NLP Neural Network Categorization 52

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Mlearning.ai

OCTOBER 2, 2023

Famous models like BERT and others, begin their journey with initial training on massive datasets encompassing vast swaths of internet text. So as you can see above in the picture the taxonomy can be broadly categorized into: 1. ArXiv , 2017, /abs/1706.03762. It also serves as a powerful lever for refining the abilities of LLMs.

Large Language Models 98

Large Language Models BERT Categorization LLM 98

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

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Types of commonsense: Commonsense knowledge can be categorized according to types, including but not limited to: Social commonsense: people are capable of making inferences about other people's mental states, e.g. what motivates them, what they are likely to do next, etc. Using the AllenNLP demo. Is it still useful?

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52