Marktechpost

MAY 5, 2024

Existing surveys detail a range of techniques utilized in Explainable AI analyses and their applications within NLP. The LM interpretability approaches discussed are categorized based on two dimensions: localizing inputs or model components for predictions and decoding information within learned representations.

Natural Language Processing 108

Natural Language Processing Categorization Neural Network NLP 108

IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Watsonx.ai

Generative AI 135

Generative AI Auto-complete AI AI 135

Viso.ai

APRIL 25, 2024

It’s important to note that the categorization of visual dataset bias can vary between sources. However, it is worth noting that even though this class imbalance has a significant impact, they do not explain every disparity in the performance of machine learning algorithms. This section will use the framework outlined here.

Computer Vision 52

Computer Vision Categorization Algorithm Deep Learning 52

DataRobot Blog

DECEMBER 20, 2022

What would happen if an automated intelligence machine approach could process and understand all this increasingly massive multimodal data through the lens of a real estate player and use it to obtain quick actionable insights ? Automating and optimizing their investment strategy. Property performance. Property features.

Explainability 59

Explainability Automation Machine Learning AI 59

Viso.ai

DECEMBER 6, 2023

Image Classification Image classification tasks involve CV models categorizing images into user-defined classes for various applications. Based on the presence of a tiger, the entire image is categorized as such. Semantic Segmentation Semantic segmentation aims to identify each pixel within an image for a more detailed categorization.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

IBM Journey to AI blog

FEBRUARY 9, 2024

According to a recent IBM survey of over 1,000 employees at enterprise-scale companies , the top three factors driving AI adoption were advances in AI tools that make them more accessible, the need to reduce costs and automate key processes and the increasing amount of AI embedded into standard off-the-shelf business applications.

AI 238

AI AI Generative AI Artificial Intelligence 238