AWS Machine Learning Blog

DECEMBER 24, 2024

To reduce costs while continuing to use the power of AI , many companies have shifted to fine tuning LLMs on their domain-specific data using Parameter-Efficient Fine Tuning (PEFT). Manually managing such complexity can often be counter-productive and take away valuable resources from your businesses AI development.

AWS 106

AWS Clustering Deep Learning Deep Learning 106

Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

AWS 145

AWS Machine Learning Machine Learning AI 145

AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

AWS 123

AWS AI AI Python 123

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

AWS 105

AWS ML ML Data Scientist 105

databricks

JULY 15, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Azure 238

Azure Power BI ETL AI 238

AWS Machine Learning Blog

JANUARY 7, 2025

Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. To address this need, AWS generative AI best practices framework was launched within AWS Audit Manager , enabling auditing and monitoring of generative AI applications.

AWS 111

AWS AI AI Database 111

KDnuggets

JUNE 23, 2025

A project contains: Source code : The Python scripts or notebooks for training and evaluation. Example MLproject file: name: my_ml_project conda_env: conda.yaml entry_points: main: parameters: data_path: {type: str, default: "data.csv"} epochs: {type: int, default: 10} command: "python train.py --data_path {data_path} --epochs {epochs}" 3.

Machine Learning 228

Machine Learning Machine Learning Natural Language Processing Data Science 228

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions. You will use inf2.xlarge xlarge as your instance type.

AWS 106

AWS AI AI Artificial Intelligence 106

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explore how to use the power of AWS Resilience Hub and Amazon Bedrock to bridge this gap and streamline the process of sharing architectural findings across your organization. Prerequisites For this walkthrough, the following are required: An AWS account. AWS Management Console access. A Python 3.12

AWS 109

AWS AI AI Machine Learning 109

AWS Machine Learning Blog

OCTOBER 15, 2024

We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. The SageMaker Core SDK comes bundled as part of the SageMaker Python SDK version 2.231.0

Python 92

Python AWS ML ML 92

AWS Machine Learning Blog

JANUARY 15, 2025

This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience.

AWS 105

AWS SQL AI AI 105

KDnuggets

JULY 23, 2025

AWS Bedrock & SageMaker, supporting models like Amazon Titan and Claude. Google Vertex AI, like Gemini. For example, here is the Python code to use Google’s Gemini model with LiteLLM. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media.

Natural Language Processing 193

Natural Language Processing Data Science Python Machine Learning 193

Flipboard

JULY 15, 2025

As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’ interest in using public generative AI assistants. However, this growing reliance on public generative AI tools quickly raised red flags for our Information Security (Infosec) team.

AWS 144

AWS AI AI SQL 144

AWS Machine Learning Blog

NOVEMBER 25, 2024

8B and 70B inference support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. Trainium and Inferentia, enabled by the AWS Neuron software development kit (SDK), offer high performance and lower the cost of deploying Meta Llama 3.1 An AWS Identity and Access Management (IAM) role to access SageMaker.

AWS 101

AWS Python ML ML 101

Data Science Dojo

OCTOBER 31, 2024

According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research. With the continuous growth in AI, demand for remote data science jobs is set to rise. Specialists in this role help organizations ensure compliance with regulations and ethical standards.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

AWS 113

AWS AI AI Data Scientist 113

AWS Machine Learning Blog

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

AWS 129

AWS Python Database AI 129

AWS Machine Learning Blog

NOVEMBER 14, 2024

Streamlit is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python. Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. Install Python 3.7

AWS 111

AWS Python AI AI 111

Flipboard

JULY 15, 2025

The emergence of generative AI agents in recent years has transformed the AI landscape, driven by advances in large language models (LLMs) and natural language processing (NLP). The focus is shifting from simple AI assistants to Agentic AI systems that can think, iterate, and take actions to solve complex tasks.

AWS 117

AWS Python Natural Language Processing AI 117

AWS Machine Learning Blog

NOVEMBER 26, 2024

Solution overview The solution constitutes a best-practice Amazon SageMaker domain setup with a configurable list of domain user profiles and a shared SageMaker Studio space using the AWS Cloud Development Kit (AWS CDK). The AWS CDK is a framework for defining cloud infrastructure as code. The AWS CDK installed.

AWS 100

AWS Data Scientist ML ML 100

AWS Machine Learning Blog

JULY 10, 2025

This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with external data sources and systems. set up the AWS account : Create an AWS account. Use the following steps.To

AWS 89

AWS AI AI Python 89

AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. This comprehensive setup enables collaborative efforts by allowing users to store, share, and access notebooks, Python files, and other essential artifacts.

AWS 113

AWS ML ML Machine Learning 113

Flipboard

JUNE 5, 2025

As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. AWS has always provided customers with choice. Prerequisites To implement this solution, you need an AWS account with the necessary permissions.

AWS 105

AWS AI AI ML 105

AWS Machine Learning Blog

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. pip install opencv-python ultralytics !pip

AWS 111

AWS Python Algorithm ML 111

AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. The higher-level abstracted layer is designed for data scientists with limited AWS expertise, offering a simplified interface that hides complex infrastructure details.

ML 102

ML ML Python AWS 102

AWS Machine Learning Blog

NOVEMBER 26, 2024

With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.

AWS 117

AWS ML ML Data Scientist 117

Flipboard

JULY 17, 2025

Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI , enabling models to retrieve relevant information from enterprise knowledge bases before responding. Use built-in LLM-based generative AI metrics such as correctness and relevance to assess output quality.

AI 151

AI AI Database AWS 151

AWS Machine Learning Blog

DECEMBER 16, 2024

In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI , using advanced SageMaker AI features for optimal performance and cost management. 405B by less than 2% in 6 out of 10 standard AI benchmarks and actually outperforming it in three categories. Overview of the Llama 3.3 70B model Llama 3.3

AWS 101

AWS ML ML Python 101

AWS Machine Learning Blog

OCTOBER 31, 2024

Amazon SageMaker Ground Truth enables the creation of high-quality, large-scale training datasets, essential for fine-tuning across a wide range of applications, including large language models (LLMs) and generative AI. The following example demonstrates how to do this using Python and Boto3. Choose Create labeling job.

AWS 115

AWS Natural Language Processing ML ML 115

AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). In this post, we explore how to integrate Amazon Bedrock FMs into your code base, enabling you to build powerful AI-driven applications with ease.

AWS 119

AWS Python Machine Learning Machine Learning 119

AWS Machine Learning Blog

JUNE 30, 2025

Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. By using generative AI through natural language prompts, architects can now generate professional diagrams in minutes rather than hours, while adhering to AWS best practices.

AWS 69

AWS Database Python Clustering 69

AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

AI 108

AI AI AWS Machine Learning 108

AWS Machine Learning Blog

MAY 16, 2025

This post is co-authored by Manuel Lopez Roldan, SiMa.ai, and Jason Westra, AWS Senior Solutions Architect. With Amazon SageMaker AI and SiMa.ais Palette Edgematic platform, you can efficiently build, train, and deploy optimized ML models at the edge for a variety of use cases. If you dont have an AWS account, you can create one.

AWS 91

AWS ML ML AI 91

How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Today, we’ll explore why Amazon’s cloud-based machine learning services could be your perfect starting point for building AI-powered applications.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

AWS Machine Learning Blog

NOVEMBER 25, 2024

About John Snow Labs John Snow Labs , the AI for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations put AI to good use. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

AWS 111

AWS ML ML Machine Learning 111

AWS Machine Learning Blog

NOVEMBER 14, 2024

This new cutting-edge image generation model, which was trained on Amazon SageMaker HyperPod , empowers AWS customers to generate high-quality images from text descriptions with unprecedented ease, flexibility, and creative potential. Large model is available today in the following AWS Regions: US East (N. By adding Stable Diffusion 3.5

AWS 119

AWS ML ML Machine Learning 119

Flipboard

DECEMBER 2, 2024

As the AI landscape continues to evolve and models grow even larger, innovations like Fast Model Loader become increasingly crucial. We explore two approaches: using the SageMaker Python SDK for programmatic implementation, and using the Amazon SageMaker Studio UI for a more visual, interactive experience.

AWS 138

AWS ML ML Machine Learning 138