Unite.AI

DECEMBER 19, 2023

This is done on the features that security vendors might sign, starting from hardcoded strings, IP/domain names of C&C servers, registry keys, file paths, metadata, or even mutexes, certificates, offsets, as well as file extensions that are correlated to the encrypted files by ransomware.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

The MLOps Blog

JANUARY 23, 2025

A typical multimodal LLM has three primary modules: The input module comprises specialized neural networks for each specific data type that output intermediate embeddings. An output could be, e.g., a text, a classification (like “dog” for an image), or an image. Examples of different Kosmos-1 tasks.

Large Language Models 59

Large Language Models Auto-classification LLM Robotics 59

AWS Machine Learning Blog

MAY 31, 2023

PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime. Triton uses TorchScript for improved performance and flexibility.

ML 116

ML Auto-classification Auto-complete Natural Language Processing 116

Unite.AI

JUNE 24, 2024

Machine learning frameworks like scikit-learn are quite popular for training machine learning models while TensorFlow and PyTorch are popular for training deep learning models that comprise different neural networks. It checks data and model quality, data drift, target drift, and regression and classification performance.

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

Dlabs.ai

JANUARY 16, 2023

The Mayo Clinic sponsored the Mayo Clinic – STRIP AI competition focused on image classification of stroke blood clot origin. Typical Neural Network architectures take relatively small images (for example, EfficientNetB0 224x224 pixels) as input. The neural network generated a [7, 7, 1280] -shape embedding for each tile.

Neural Network 52

Neural Network ML Auto-classification Convolutional Neural Networks 52

AWS Machine Learning Blog

AUGUST 8, 2023

These complex models often require hardware acceleration because it enables not only faster training but also faster inference when using deep neural networks in real-time applications. GPUs’ large number of parallel processing cores makes them well-suited for these DL tasks.

BERT 98

BERT Deep Learning Auto-classification Python 98