Mlearning.ai

MARCH 2, 2023

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Preliminaries: Transformers and Unsupervised Transfer Learning II.1 1 Transformers and Attention II.2

BERT 52

BERT NLP Deep Learning Neural Network 52

AWS Machine Learning Blog

JANUARY 19, 2024

Specifically, you can use this approach if you have dedicated machine learning (ML) and data science teams who fine-tune their own PLM models using domain-specific datasets and deploy a large number of inference endpoints using Amazon SageMaker. The following diagram provides an overview of the workflow explained in this post.

BERT 91

BERT Automation Neural Network Machine Learning 91

AWS Machine Learning Blog

NOVEMBER 1, 2023

Text Generation Inference Text Generation Inference (TGI) is an open-source toolkit developed by Hugging Face for deploying LLMs as well as VLMs for inference. Utilizing the latest Hugging Face LLM modules on Amazon SageMaker, AWS customers can now tap into the power of SageMaker deep learning containers (DLCs).

Auto-classification 87

Auto-classification LLM Auto-complete Generative AI 87

PyImageSearch

SEPTEMBER 11, 2023

Recent progress toward developing such general-purpose “foundational models” has boomed the machine learning and computer vision community. Like other foundational models, it is pre-trained on a large-scale dataset with 11 million images annotated with 1 billion masks.

Computer Vision 117

Computer Vision AI AI Prompt Engineer 117

Sebastian Ruder

JANUARY 24, 2022

(2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Feel free to highlight them as well as ones that you found inspiring in the comments. Feel free to highlight them as well as ones that you found inspiring in the comments. Why is it important?  

NLP 52

NLP ML BERT Computational Linguistics 52

PyImageSearch

NOVEMBER 6, 2023

output : This directory stores the model weights as well as the image segmentation results for each test image, which includes the input image, its predicted mask, and the corresponding ground truth mask. The dataset provides a rich resource for exploring advanced machine learning techniques, especially in image segmentation.

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

Marek Rei

NOVEMBER 12, 2019

Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52