AWS Machine Learning Blog

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. This enables you to begin machine learning (ML) quickly. It includes the FLAN-T5-XL model , an LLM deployed into a deep learning container.

Generative AI 97

Generative AI LLM Machine Learning Large Language Models 97

AWS Machine Learning Blog

NOVEMBER 14, 2023

Experiments plus callback integration Amazon SageMaker Experiments lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions from any integrated development environment (IDE), including local Jupyter Notebooks, using the SageMaker Python SDK or boto3.

ML 119

ML LLM Natural Language Processing Machine Learning 119

AWS Machine Learning Blog

JULY 8, 2024

Stable Diffusion XL by Stability AI is a high-quality text-to-image deep learning model that allows you to generate professional-looking images in various styles. The Details tab displays metadata, logs, and the associated training job. He has a deep passion for learning, teaching, and photography.

ML 126

ML Automation DevOps Software Engineer 126

Viso.ai

MARCH 29, 2024

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. MLflow can be seen as a tool that fits within the MLOps (synonymous with DevOps) framework.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

The MLOps Blog

AUGUST 3, 2023

We’re trying to provide precisely a means to store and capture that extra metadata for you so you don’t have to build that component out so that we can then connect it with other systems you might have. It really depends on what you have to do to stitch together a flow of data to transform for your deep learning use case.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. There’s no component that stores metadata about this feature store?

ML 52

ML Data Scientist Machine Learning Data Science 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

As per the definition and the required ML expertise, MLOps is required mostly for providers and fine-tuners, while consumers can use application productionization principles, such as DevOps and AppDev to create the generative AI applications. The journey of providers FM providers need to train FMs, such as deep learning models.

Generative AI 126

Generative AI Prompt Engineer Prompt Engineering ML 126

ODSC - Open Data Science

APRIL 17, 2023

DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc., In this case, the provenance of the collected data is analyzed and the metadata is logged for future audit purposes.

Data Science 97

Data Science DevOps Deep Learning Automation 97

AWS Machine Learning Blog

JULY 16, 2024

This plugin allows Kubernetes to recognize and utilize the EFA device, facilitating high-throughput, low-latency networking necessary for efficient distributed training and deep learning applications. His work spans multilingual text-to-speech, time series classification, ed-tech, and practical applications of deep learning.

Generative AI 125

Generative AI Auto-complete Auto-classification Deep Learning 125

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Collaboration The principles you have learned in this guide are mostly born out of DevOps principles.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

JANUARY 9, 2025

Deep Instinct is a cybersecurity company that offers a state-of-the-art, comprehensive zero-day data security solutionData Security X (DSX), for safeguarding your data repositories across the cloud, applications, network attached storage (NAS), and endpoints. The rise of AI-based threats is becoming more pronounced.

Deep Learning 115

Deep Learning Neural Network Explainability AI 115