AWS Machine Learning Blog

FEBRUARY 24, 2023

Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you the ability to deploy multiple ML models in a single serving container behind a single endpoint. The impact is more for models using a convolutional neural network (CNN).

BERT 84

BERT NLP Computer Vision Neural Network 84

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). This represented a significant departure in how machine learning models process sequential data. The typical architecture of a neural machine translation model (NMT). Vaswani et al.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. 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

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP).  2020 saw the development of ever larger language and dialogue models such as Meena ( Adiwardana et al.,

NLP 52

NLP ML Computer Vision Natural Language Processing 52

Mlearning.ai

MARCH 30, 2023

To understand this let’s take an example of a widely used neural network, CNN (Convolutional Neural Network) CNN is made of two parts: C — Convolution NN — Neural Network The most important part of training is feature extraction which is done by the convolutional part of the CNN.

Neural Network 52

Neural Network AI Developer AI Development Convolutional Neural Networks 52

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 2: Automated Document Analysis and Processing No.3:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Lexalytics

APRIL 5, 2021

Initially, we had been using classic symbolic NLP algorithms, but in recent years we had started to incorporate machine learning (ML) models into more and more parts of our code, including our own implementations of conditional random fields [ 11 ] and a home-grown maximum entropy classifier.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Heartbeat

FEBRUARY 8, 2024

Cross-modal retrieval is a branch of computer vision and natural language processing that links visual and verbal descriptions. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are often employed to extract meaningful representations from images and text, respectively.

Neural Network 52

Neural Network Deep Learning Convolutional Neural Networks Computer Vision 52

Heartbeat

OCTOBER 12, 2023

The Rise of Large Language Models The emergence and proliferation of large language models represent a pivotal chapter in the ongoing AI revolution. These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning.

Large Language Models 59

Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 59

John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40