John Snow Labs

JUNE 27, 2023

At their core, LLMs are built upon deep neural networks, enabling them to process vast amounts of text and learn complex patterns. In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Google Research AI blog

FEBRUARY 10, 2023

We also had a number of interesting results on graph neural networks (GNN) in 2022. Relative performance results of three GNN variants ( GCN , APPNP , FiLM ) across 50,000 distinct node classification datasets in GraphWorld. We provided a model-based taxonomy that unified many graph learning methods.

Algorithm 110

Algorithm Auto-classification Neural Network ML 110

Mlearning.ai

JUNE 22, 2023

Understanding the biggest neural network in Deep Learning Join 34K+ People and get the most important ideas in AI and Machine Learning delivered to your inbox for free here Deep learning with transformers has revolutionized the field of machine learning, offering various models with distinct features and capabilities.

Auto-classification 52

Auto-classification Auto-complete BERT Deep Learning 52

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. You can also learn and run sample codes for BERT, GPT-2, and GPT-J on the Amazon SageMaker Examples public repository.

Auto-classification 76

Auto-classification Deep Learning Computer Vision Large Language Models 76

Viso.ai

DECEMBER 22, 2023

This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. Today, the computer vision project has gained enormous momentum in mobile applications, automated image annotation tools , and facial recognition and image classification applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Explosion

JANUARY 31, 2021

de_dep_news_trf German bert-base-german-cased 99.0 95.8 - es_dep_news_trf Spanish bert-base-spanish-wwm-cased 98.2 94.4 - zh_core_web_trf Chinese bert-base-chinese 92.5 Package Language Transformer Tagger Parser NER en_core_web_trf English roberta-base 97.8 94.6 - fr_dep_news_trf French camembert-base 95.7

NLP 52

NLP Python BERT Auto-classification 52

Jay Alammar

DECEMBER 16, 2020

This article focuses on auto-regressive models, but these methods are applicable to other architectures and tasks as well. The literature is most often concerned with this application for classification tasks, rather than natural language generation. to perform well across various datasets for text classification in transformer models.

Explainability 52

Explainability Auto-classification Auto-complete Neural Network 52