AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker JumpStart helps you get started with machine learning (ML) by providing fully customizable solutions and one-click deployment and fine-tuning of more than 400 popular open-weight and proprietary generative AI models. It also offers a broad set of capabilities to build generative AI applications.

AWS

AWS Machine Learning Blog

JANUARY 24, 2025

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. The following code is a sample resource policy.

AWS

AWS Machine Learning Blog

NOVEMBER 15, 2024

In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. By fine-tuning a generative AI model like Meta Llama 3.2 For a detailed walkthrough on fine-tuning the Meta Llama 3.2 Meta Llama 3.2 All Meta Llama 3.2

ML

AWS Machine Learning Blog

OCTOBER 15, 2024

In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative AI use cases, enabling the generation of high-quality training data for artificial intelligence and machine learning (AI/ML) models. The following diagram illustrates the solution architecture.

AWS

AWS Machine Learning Blog

JULY 17, 2025

For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. Amazon Nova LLM-as-a-Judge is designed to deliver robust, unbiased assessments of generative AI outputs across model families. Meta J1 8B – 0.42 – 0.60 – Nova Micro (8B) 0.56

AI

AWS Machine Learning Blog

MAY 1, 2025

multimodal models on Amazon Bedrock offers organizations a powerful way to create customized AI solutions that understand both visual and textual information. Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

AWS

AWS Machine Learning Blog

MARCH 10, 2025

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. It became apparent that a cost-effective solution for our generative AI needs was required.

AWS

AWS Machine Learning Blog

JUNE 11, 2025

To address these challenges, Adobe partnered with the AWS Generative AI Innovation Center , using Amazon Bedrock Knowledge Bases and the Vector Engine for Amazon OpenSearch Serverless. For those interested in working with AWS on similar projects, visit Generative AI Innovation Center.

AWS

Flipboard

NOVEMBER 15, 2024

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. Each table represents a single data store.

AWS

Flipboard

APRIL 14, 2025

Apple has floundered in its efforts to bring a convincing AI product to the table so much so that it's become the subject of derision even among its own employees, The Information reports. More specifically, it's the AI and machine-learning group that's getting the lion's share of mockery.

AI

Flipboard

JULY 17, 2025

This means customers can strike an optimal balance between performance and economics, and you can focus on creating value through AI-powered applications rather than managing complex vector storage infrastructure. Dani Mitchell is a Generative AI Specialist Solutions Architect at Amazon Web Services (AWS).

AWS

AWS Machine Learning Blog

MARCH 27, 2025

This creates a challenging situation where organizations must balance security controls with using AI capabilities. As AI and machine learning capabilities continue to evolve, finding the right balance between security controls and innovation enablement will remain a key challenge for organizations. We will use this at a later step.

AWS

AWS Machine Learning Blog

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. By harnessing the latest advancements in generative AI, we empower employees to unlock new levels of efficiency and creativity within the tools they already use every day.

AWS

Snorkel AI

JUNE 26, 2025

Motivation Our agent-based insurance benchmark was motivated by observations we have made working with customers and in the field of AI more generally: The past 9-12 months have witnessed an explosion in agents and models capable of interacting with larger ecosystems via tool use. We wrapped up each AI model we benchmarked as a ReAct agent.

AI

AWS Machine Learning Blog

FEBRUARY 12, 2025

Theres a growing demand from customers to incorporate generative AI into their businesses. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

AWS

O'Reilly Media

JUNE 10, 2025

The widely read and discussed article “ AI as Normal Technology ” is a reaction against claims of “superintelligence,” as its headline suggests. AI is better at most things than most people, but what does that mean in practice, if an AI doesn’t have volition? I’m substantially in agreement with it. No humans were involved.

AI

AWS Machine Learning Blog

MARCH 26, 2025

Amazon SageMaker JumpStart is a machine learning (ML) hub that provides pre-trained models, solution templates, and algorithms to help developers quickly get started with machine learning. Today, we are announcing an enhanced private hub feature with several new capabilities that give organizations greater control over their ML assets.

ML

AWS Machine Learning Blog

MAY 21, 2025

Software companies increasingly adopt generative AI capabilities like Amazon Bedrock , which provides fully managed foundation models with comprehensive security features. Challenges in logging with Amazon Bedrock Observability is crucial for effective AI implementationsorganizations cant optimize what they dont measure.

AWS

Hacker News

JUNE 29, 2025

reply egypturnash 21 minutes ago | prev | next [–] Figuring out the plot and character designs for the next chapter of my graphic novel about a utopia run by AIs who have found that taking the form of unctuous, glazing clowns is the best way to get humans to behave in ways that fulfil the AI's reward functions. Name is pending.

AI

IBM Data Science in Practice

MARCH 8, 2023

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

Machine Learning

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code.

ML

Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

ML

AWS Machine Learning Blog

JULY 9, 2025

It’s happening today in our customers’ AI production environments. The scale of the AI systems that our customers are building today—across drug discovery, enterprise search, software development, and more—is truly remarkable. P6e-GB200 UltraServers are designed for training and deploying the largest, most sophisticated AI models.

AWS

AWS Machine Learning Blog

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

AWS

AWS Machine Learning Blog

MAY 10, 2023

Quick iteration and faster time-to-value can be achieved by providing these analysts with a visual business intelligence (BI) tool for simple analysis, supported by technologies like machine learning (ML). Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision-making.

ML

Towards AI

MARCH 14, 2024

Last Updated on March 14, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. All the way back in 2012, Harvard Business Review said that Data Science was the sexiest job of the 21st century and recently followed up with an updated version of their article. Published via Towards AI

Data Science

AWS Machine Learning Blog

JULY 10, 2025

AI developers and machine learning (ML) engineers can now use the capabilities of Amazon SageMaker Studio directly from their local Visual Studio Code (VS Code). Keep your preferred themes, shortcuts, extensions, productivity, and AI tools while accessing SageMaker AI features.

AWS

AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. For instructions, refer to Bring Your Own AI Models to Salesforce with Einstein Studio The following diagram illustrates the solution architecture. In this step, we use some of these transformations to prepare the dataset for an ML model.

ML

phData

MAY 17, 2024

The brand-new Forecasting tool created on Snowflake Data Cloud Cortex ML allows you to do just that. What is Cortex ML, and Why Does it Matter? Cortex ML is Snowflake’s newest feature, added to enhance the ease of use and low-code functionality of your business’s machine learning needs.

ML

AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. It’s attached to a ML compute instance whenever a Space is run.

ML

AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. With the recent PyTorch 2.0 release, AWS customers can now do same things as they could with PyTorch 1.x Refer to PyTorch 2.0: on AWS PyTorch2.0

AWS

AWS Machine Learning Blog

SEPTEMBER 3, 2024

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. An ML platform administrator can manage permissioning for the EMR Serverless integration in SageMaker Studio. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

AWS

AWS Machine Learning Blog

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

AWS

AWS Machine Learning Blog

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The SageMaker Processing job operates with the /opt/ml local path, and you can specify your ProcessingInputs and their local path in the configuration. Create an S3 bucket.

Machine Learning

AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production.

AWS

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. All are required for trusted AI , technology systems that align to our individual, corporate and societal ideals. The benefits of AI are immense.

AI

ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. SAS One of the most experienced AI leaders, SAS delivers AI solutions to enhance human ingenuity.

Data Science