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

AWS Machine Learning Blog

OCTOBER 30, 2024

M5 LLMS are BERT-based LLMs fine-tuned on internal Amazon product catalog data using product title, bullet points, description, and more. For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition. str.replace(' ', '_') data['main_category'] = data['category'].str.split("|").str[0]

BERT 107

BERT Categorization Data Scientist Machine Learning 107

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

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. 92] categorized the languages of the world into six different categories based on the amount of labeled and unlabeled data available in them.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. Next, OpenAI released GPT-3 in June of 2020.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. Next, OpenAI released GPT-3 in June of 2020.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Explosion

MAY 17, 2023

We want to aggregate it, link it, filter it, categorize it, generate it and correct it. In their experiments, OpenAI prompted GPT3 with 32 examples of each task, and found that they were able to achieve similar accuracy to the BERT baselines. This is unfortunate, because that’s what the web almost entirely consists of.

LLM 135

LLM NLP Large Language Models OpenAI 135