AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

Generative AI 124

Generative AI Prompt Engineering Prompt Engineer ML 124

ODSC - Open Data Science

MARCH 31, 2025

Each text, including the rotated text on the left of the page, is identified and extracted as a stand-alone text element with coordinates and other metadata that makes it possible to render a document very close to the original PDF but from a structured JSONformat.

Metadata 52

Metadata DevOps NLP Large Language Models 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

Generative AI 119

Generative AI Artificial Intelligence Artificial Intelligence Chatbots 119

IBM Journey to AI blog

FEBRUARY 14, 2024

Routine questions from staff can be quickly answered using AI. Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

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Computer Vision NLP Robotics Automation 247

AWS Machine Learning Blog

MARCH 20, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Automation 76

Automation DevOps Metadata Generative AI 76

AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

Generative AI 86

Generative AI LLM Machine Learning Large Language Models 86

AWS Machine Learning Blog

DECEMBER 19, 2023

Machine learning operations (MLOps) applies DevOps principles to ML systems. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations. He is especially passionate about software engineering , Generative AI and helping companies with AI/ML product development.

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Machine Learning ML Engineer DevOps ML 127

Unite.AI

DECEMBER 19, 2023

Now, as we continue to see threats rise in volume and velocity because of Generative AI, and as attackers reinvent, innovate, and evade existing controls, organizations need a predictive, preventative capability to stay one step ahead of bad actors. Generally, these customers are also adopting a “shift left” with DevOps.

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Neural Network Deep Learning ML Metadata 147

AWS Machine Learning Blog

JUNE 11, 2024

His area of focus is generative AI and AWS AI Accelerators. Niithiyn works closely with the Generative AI GTM team to enable AWS customers on multiple fronts and accelerate their adoption of generative AI. He focuses on generative AI, AI/ML, and data analytics.

Deep Learning 119

Deep Learning ML Automation Auto-complete 119

Unite.AI

JUNE 24, 2024

It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. Especially in the current time when large language models (LLMs) are making their way for several industry-based generative AI projects.

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

AWS Machine Learning Blog

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. One of the hottest areas in AI right now is generative AI, and for good reason. Source: Generative AI on AWS (O’Reilly, 2023) LoRA has gained popularity recently for several reasons.

ML 112

ML LLM Natural Language Processing Machine Learning 112

AWS Machine Learning Blog

OCTOBER 20, 2023

Recent developments in generative AI models have further sped up the need of ML adoption across industries. Although generative AI may need additional controls in place, such as removing toxicity and preventing jailbreaking and hallucinations, it shares the same foundational components for security and governance as traditional ML.

ML 124

ML Data Scientist ML Engineer Data Science 124

AWS Machine Learning Blog

JULY 8, 2024

The Details tab displays metadata, logs, and the associated training job. He currently serves media and entertainment customers, and has expertise in software engineering, DevOps, security, and AI/ML. Choose the current pipeline run to view its details. About the Author Alen Zograbyan is a Sr.

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ML Automation DevOps Software Engineer 120

The MLOps Blog

OCTOBER 3, 2023

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? Mikiko Bazeley: In the case of the literal feature store, all it does is store features and metadata.

ML 52

ML Data Scientist Machine Learning Data Science 52

AWS Machine Learning Blog

JULY 16, 2024

NVIDIA NeMo Framework NVIDIA NeMo is an end-to-end cloud-centered framework for training and deploying generative AI models with billions and trillions of parameters at scale. NVIDIA NeMo simplifies generative AI model development, making it more cost-effective and efficient for enterprises. 24xlarge instances.

Generative AI 124

Generative AI Auto-complete Auto-classification Deep Learning 124

AWS Machine Learning Blog

NOVEMBER 29, 2023

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Based on this tenet, we can classify generative AI users who need LLM evaluation capabilities into 3 groups as shown in the following figure: model providers, fine-tuners, and consumers.

LLM 105

LLM Data Scientist Algorithm Generative AI 105

AWS Machine Learning Blog

NOVEMBER 14, 2024

Technical tags – These provide metadata about resources. The AWS reserved prefix aws: tags provide additional metadata tracked by AWS. Business tags – These represent business-related attributes, not technical metadata, such as cost centers, business lines, and products. This helps track spending for cost allocation purposes.

ML 102

ML Metadata Automation Machine Learning 102

AWS Machine Learning Blog

JANUARY 9, 2025

DSX provides unmatched prevention and explainability by using a powerful combination of deep learning-based DSX Brain and generative AI DSX Companion to protect systems from known and unknown malware and ransomware in real-time. DIANNAs unique approach to malware analysis sets it apart from other cybersecurity solutions.

Deep Learning 108

Deep Learning Neural Network Explainability AI 108