AWS Machine Learning Blog

MARCH 2, 2023

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. Solutions Architect in the ML Frameworks Team.

BERT 98

BERT Deep Learning Metadata Auto-complete 98

Marktechpost

MAY 13, 2024

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). The study demonstrated the effectiveness of this new method by applying it to several well-known models, including variations of Google’s BERT and OpenAI’s GPT series.

Automation 107

Automation Computational Linguistics Large Language Models Natural Language Processing 107

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

Computational Linguistics 119

Computational Linguistics Large Language Models LLM BERT 119

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. Words like “Descent”, “Average”, etc. are assigned a negative label.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Pre-trained models were applied in many different domains and started to be considered critical for ML research [1]. 6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. What happened?  

NLP 52

NLP ML BERT Computational Linguistics 52

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. Representation of African NLP Researchers in top ML and NLP venues. *: does not consider African authors working abroad.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52