Mlearning.ai

FEBRUARY 19, 2023

It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language. GPT-3 is a successor to the earlier GPT-2 (released in Feb 2019) and GPT-1 (released in June 2018) models .

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52

Explosion

DECEMBER 28, 2019

We had already decided at the end of 2018 that we wanted to do this and after seven months of planning and hard work, we couldn’t have been happier with the result. Through his longstanding working relationship with Ines, he began to freelance for Explosion in small capacities in 2018.

NLP 52

NLP BERT Machine Learning Python 52

Sebastian Ruder

JANUARY 24, 2022

  While pre-trained transformers will likely continue to be deployed as standard baselines for many tasks, we should expect to see alternative architectures particularly in settings where current models fail short, such as modeling long-range dependencies and high-dimensional inputs or where interpretability and explainability are required.

NLP 52

NLP ML BERT Computational Linguistics 52

AWS Machine Learning Blog

MAY 22, 2023

We provided code explaining how to retrain the model using data for the target task and deploy the fine-tuned model behind an endpoint. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Scaling instruction-fine tuned language models.”

Natural Language Processing 110

Natural Language Processing Machine Learning Computational Linguistics NLP 110