Unite.AI

DECEMBER 19, 2023

Carl Froggett, is the Chief Information Officer (CIO) of Deep Instinct , an enterprise founded on a simple premise: that deep learning , an advanced subset of AI, could be applied to cybersecurity to prevent more threats, faster. Generally, these customers are also adopting a “shift left” with DevOps.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

Unite.AI

JUNE 24, 2024

Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. As the adoption of machine learning in various industries continues to grow, the demand for robust MLOps tools has also increased.

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. In our case, we chose to use a float[] as the input type and the built-in DJL classifications as the output type.

ML 86

ML Deep Learning Python Auto-classification 86

The MLOps Blog

JUNE 27, 2023

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MAY 31, 2024

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. The last tweet (“I love spending time with my family”) is left without a sentiment to prompt the model to generate the classification itself. His area of focus is AI for DevOps and machine learning.

Python 114

Python Machine Learning Auto-classification ML 114

AWS Machine Learning Blog

JULY 16, 2024

It manages the availability and scalability of the Kubernetes control plane, and it provides compute node auto scaling and lifecycle management support to help you run highly available container applications. His work spans multilingual text-to-speech, time series classification, ed-tech, and practical applications of deep learning.

Generative AI 122

Generative AI Auto-complete Auto-classification Deep Learning 122