Unite.AI

JANUARY 27, 2025

End users should also seek companies that can help with this testing as often an ML Engineer can help with deployment vs. the Data Scientist that created the model. How is Cirrascale adapting its solutions to meet the growing demand for generative AI applications, like LLMs and image generation models?

Deep Learning 162

Deep Learning Data Quality ML Engineer Data Scientist 162

Flipboard

FEBRUARY 28, 2023

These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. However, most of these generative AI models are foundational models: high-capacity, unsupervised learning systems that train on vast amounts of data and take millions of dollars of processing power to do it.

Generative AI 130

Generative AI ML Engineer Computer Vision Robotics 130

AWS Machine Learning Blog

FEBRUARY 11, 2025

Get started with SageMaker JumpStart SageMaker JumpStart is a machine learning (ML) hub that can help accelerate your ML journey. About the authors Niithiyn Vijeaswaran is a Generative AI Specialist Solutions Architect with the Third-Party Model Science team at AWS.

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ML Machine Learning Python Computer Vision 81

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

AWS Machine Learning Blog

FEBRUARY 12, 2024

Sharing in-house resources with other internal teams, the Ranking team machine learning (ML) scientists often encountered long wait times to access resources for model training and experimentation – challenging their ability to rapidly experiment and innovate. If it shows online improvement, it can be deployed to all the users.

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ML Explainability Machine Learning Deep Learning 131

AWS Machine Learning Blog

MAY 15, 2024

To help advertisers more seamlessly address this challenge, Amazon Ads rolled out an image generation capability that quickly and easily develops lifestyle imagery, which helps advertisers bring their brand stories to life. Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v).

Generative AI 125

Generative AI AI AI Machine Learning 125

AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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LLM Large Language Models ML Algorithm 99

AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

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Generative AI Metadata Python ML 120

AWS Machine Learning Blog

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline.

Generative AI 128

Generative AI Prompt Engineer Prompt Engineering LLM 128

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Data Science DevOps Machine Learning Data Scientist 170

AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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Generative AI Prompt Engineering Prompt Engineer Machine Learning 103

AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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Generative AI Data Ingestion AI AI 118

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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ML Python Deep Learning Machine Learning 123

AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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Generative AI LLM AI AI 124

AWS Machine Learning Blog

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.

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ML Machine Learning Auto-complete Auto-classification 92

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

AWS Machine Learning Blog

DECEMBER 10, 2024

Today, we are excited to announce that Pixtral 12B ( pixtral-12b-2409 ), a state-of-the-art vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon SageMaker JumpStart. Specialist Solutions Architect working on generative AI.

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ML Generative AI Computer Vision ML Engineer 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. To address the legacy data science environment challenges, Rocket decided to migrate its ML workloads to the Amazon SageMaker AI suite.

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Data Science Data Scientist Data Ingestion DevOps 70

AWS Machine Learning Blog

FEBRUARY 21, 2025

Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. For this post, we have two active directory groups, ml-engineers and security-engineers. What is Amazon Q optimized for?

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Generative AI ML Engineer NLP IDP 73

AWS Machine Learning Blog

JUNE 3, 2024

Solution overview SageMaker Canvas brings together a broad set of capabilities to help data professionals prepare, build, train, and deploy ML models without writing any code. With a data flow, you can prepare data using generative AI, over 300 built-in transforms, or custom Spark commands. We start from creating a data flow.

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Generative AI Categorization Auto-complete Auto-classification 113

Unite.AI

FEBRUARY 15, 2024

The integration of generative AI into Customer Experience Management (CXM) is heralding a new era of digital transformation. Key Drivers and Deployment Areas One of the report's key insights is the identification of major drivers for generative AI adoption in CXM.

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Generative AI ML Engineer Data Scientist Software Development 100

AWS Machine Learning Blog

JUNE 25, 2024

This solution simplifies the integration of advanced monitoring tools such as Prometheus and Grafana, enabling you to set up and manage your machine learning (ML) workflows with AWS AI Chips. By deploying the Neuron Monitor DaemonSet across EKS nodes, developers can collect and analyze performance metrics from ML workload pods.

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ML Metadata Software Development Generative AI 89

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. It offers tool recommendations, step-by-step guidance, code generation, and troubleshooting support.

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ML Computer Vision Data Scientist Machine Learning 83

AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. HyperPod CLI v2.0.0

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Data Scientist Data Science ML Engineer Generative AI 73

AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. There were noticeable challenges when running ML workflows in the cloud.

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Data Scientist ML Engineer Machine Learning Data Science 113

AWS Machine Learning Blog

APRIL 2, 2025

Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He specializes in helping customers accelerate business outcomes on AWS through the application of machine learning and generative AI. He helps customers implement big data and analytics solutions.

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Large Language Models LLM Machine Learning Big Data 90

Flipboard

NOVEMBER 28, 2023

In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. To realize the full potential of generative AI, however, it’s important to carefully reflect on any potential risks.

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Artificial Intelligence Artificial Intelligence Responsible AI Machine Learning 173

AWS Machine Learning Blog

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. Additionally, you can use AWS Lambda directly to expose your models and deploy your ML applications using your preferred open-source framework, which can prove to be more flexible and cost-effective.

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Large Language Models ML Python Machine Learning 99

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 127

Machine Learning ML Engineer DevOps ML 127

Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

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Generative AI Chatbots Conversational AI Software Development 92

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

FEBRUARY 7, 2025

This post, part of the Governing the ML lifecycle at scale series ( Part 1 , Part 2 , Part 3 ), explains how to set up and govern a multi-account ML platform that addresses these challenges. An enterprise might have the following roles involved in the ML lifecycles. This ML platform provides several key benefits.

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ML Data Scientist ML Engineer Data Science 64

AWS Machine Learning Blog

NOVEMBER 21, 2023

By taking care of the undifferentiated heavy lifting, SageMaker allows you to focus on working on your machine learning (ML) models, and not worry about things such as infrastructure. Prior to working at Amazon Music, Siddharth was working at companies like Meta, Walmart Labs, Rakuten on E-Commerce centric ML Problems.

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ML Deep Learning Machine Learning DevOps 104

Marktechpost

JUNE 19, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 124

AWS Machine Learning Blog

FEBRUARY 12, 2025

About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. His experience extends across different areas, including natural language processing, generative AI and machine learning operations. He specializes in developing scalable, production-grade machine learning solutions for AWS customers.

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LLM ML Natural Language Processing Machine Learning 78

AWS Machine Learning Blog

FEBRUARY 12, 2025

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements.

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Auto-classification Metadata Generative AI Machine Learning 83

TheSequence

MAY 21, 2023

. 📝 Editorial: The Undisputed Champion of Open Source Generative AI Stability AI is synonymous with open-source generative AI. The release of Stable Diffusion was a sort of Sputnik moment in the evolution of open-source generative AI models. Need more reasons to sign up?

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Generative AI ML Engineer ETL LLM 64