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

ODSC - Open Data Science

OCTOBER 24, 2023

It easily handles a mix of categorical, ordinal, and continuous features. Yet, I haven’t seen a practical implementation tested on real data in dimensions higher than 3, combining both numerical and categorical features. All categorical features are jointly encoded using an efficient scheme (“smart encoding”).

Categorization 98

Categorization Data Science Neural Network Algorithm 98

Mlearning.ai

JANUARY 26, 2023

When it comes to implementing any ML model, the most difficult question asked is how do you explain it. Suppose, you are a data scientist working closely with stakeholders or customers, even explaining the model performance and feature selection of a Deep learning model is quite a task. How can we explain it in simple terms?

Explainability 52

Explainability Neural Network Machine Learning AI 52

Viso.ai

DECEMBER 6, 2023

State of Computer Vision Tasks in 2024 The field of computer vision today involves advanced AI algorithms and architectures, such as convolutional neural networks (CNNs) and vision transformers ( ViTs ), to process, analyze, and extract relevant patterns from visual data. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

IBM Journey to AI blog

FEBRUARY 9, 2024

In December of 2023, Mistral released “Mixtral,” a mixture of experts (MoE) model integrating 8 neural networks, each with 7 billion parameters. They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions. on most standard benchmarks.

AI 238

AI AI Generative AI Artificial Intelligence 238