AWS Machine Learning

APRIL 10, 2025

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. Optimized for cost-effective performance, they are trained on data in over 200 languages.

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AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

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AWS Machine Learning

JANUARY 4, 2024

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications.

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AWS Machine Learning

JANUARY 24, 2025

Contrast that with Scope 4/5 applications, where not only do you build and secure the generative AI application yourself, but you are also responsible for fine-tuning and training the underlying large language model (LLM). These steps might involve both the use of an LLM and external data sources and APIs.

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AWS Machine Learning

MARCH 25, 2024

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Applications must have valid credentials to sign API requests to AWS services. The customer data is cleaned up for both complete and failure cases.

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AWS Machine Learning

JANUARY 28, 2025

Similarly, maintaining detailed information about the datasets used for training and evaluation helps identify potential biases and limitations in the models knowledge base. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs.

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AWS Machine Learning

AUGUST 2, 2024

GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. allows you to define multiple training targets on different nodes and edges within a single training loop. Specifically, GraphStorm 0.3

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AWS Machine Learning

MARCH 14, 2024

Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

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AWS Machine Learning

NOVEMBER 19, 2024

Discover how the fully managed infrastructure of SageMaker enables high-performance, low cost ML throughout the ML lifecycle, from building and training to deploying and managing models at scale. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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APIs Enterprise Best practices Government 108

Cincom

FEBRUARY 14, 2025

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Equip sales managers with analytics training to track quote performance and refine strategies.

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AWS Machine Learning

APRIL 23, 2025

For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header. The user query is sent using an API call along with the authentication token through Amazon API Gateway.

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AWS Machine Learning

MARCH 4, 2025

invoke(inputs["query"])) ) return retrieval_chain Option 2: Access the underlying Boto3 API The Boto3 API is able to directly retrieve with a dynamic retrieval_config. For Amazon Bedrock: Use IAM roles and policies to control access to Bedrock resources and APIs.

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AWS Machine Learning

OCTOBER 19, 2023

In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. You can train a custom adapter with as few as 20 annotated images in less than 1 hour. Create a project A project is a container to store your adapters.

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APIs Best practices Advertising Accountability 134

AWS Machine Learning

SEPTEMBER 7, 2023

SageMaker Pipelines offers ML application developers the ability to orchestrate different steps of the ML workflow, including data loading, data transformation, training, tuning, and deployment. In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless.

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AWS Machine Learning

APRIL 24, 2025

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment.

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AWS Machine Learning

MARCH 4, 2025

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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AWS Machine Learning

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock.

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AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases. keys()) & set(metrics2.keys())

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AWS Machine Learning

NOVEMBER 21, 2024

As large language models (LLMs) increasingly integrate more multimedia capabilities, human feedback becomes even more critical in training them to generate rich, multi-modal content that aligns with human quality standards. The path to creating effective AI models for audio and video generation presents several distinct challenges.

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APIs Feedback Telecommunications Management 103

AWS Machine Learning

JANUARY 10, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size.

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AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 98

APIs Enterprise Big data Accountability 98

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models. The following figure illustrates this workflow.

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AWS Machine Learning

NOVEMBER 6, 2023

In addition, we discuss the benefits of Custom Queries and share best practices for effectively using this feature. Refer to Best Practices for Queries to draft queries applicable to your use case. Within hours, you can annotate your sample documents using the AWS Management Console and train an adapter.

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APIs Best practices Banking Accountability 129

AWS Machine Learning

MAY 30, 2023

In this post, we focus on SageMaker training jobs. With SageMaker training jobs, you can bring your own algorithm or choose from more than 25 built-in algorithms. The cost of a training job is based on the resources you use (instances and storage) for the duration (in seconds) that those instances are running.

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AWS Machine Learning

OCTOBER 2, 2024

Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence.

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AWS Machine Learning

AUGUST 30, 2024

In this post, we provide an overview of the Meta Llama 3 models available on AWS at the time of writing, and share best practices on developing Text-to-SQL use cases using Meta Llama 3 models. Training involved a dataset of over 15 trillion tokens across two GPU clusters, significantly more than Meta Llama 2.

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Best practices Engineering Accountability Enterprise 91

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. Luma AI’s recently launched Dream Machine represents a significant advancement in this field.

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Scripts APIs Metrics Management 120

TechSee

JUNE 29, 2023

Training an LLM to Know and Write Standing up an LLM-powered chatbot requires training, tuning, testing, and validating the LLM’s knowledge and guidance. Like agents, the LLM must have visibility into system outage statuses and training on the latest agent guidance or best practices.

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AWS Machine Learning

JANUARY 29, 2025

Large language models Large language models (LLMs) are large-scale ML models that contain billions of parameters and are pre-trained on vast amounts of data. Furthermore, the data that the model was trained on might be out of date, which leads to providing inaccurate responses.

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AWS Machine Learning

APRIL 19, 2024

In this post, we focus on how we used Karpenter on Amazon Elastic Kubernetes Service (Amazon EKS) to scale AI training and inference, which are core elements of the Iambic discovery platform. We wanted to build a scalable system to support AI training and inference. per training task 20 minutes average $0.38

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TeleDirect

APRIL 16, 2025

Look for a service that has: Encrypted data storage Secure call recording Staff trained in handling PHI (Protected Health Information) Internal audits and compliance reporting 3. Trained Medical Receptionists and Agents Your patients should be speaking with knowledgeable and compassionate representatives.

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AWS Machine Learning

SEPTEMBER 28, 2023

Agents for Bedrock are a game changer, allowing LLMs to complete complex tasks based on your own data and APIs, privately, securely, with setup in minutes (no training or fine tuning required). Amazon Bedrock is the first fully managed generative AI service to offer Llama 2, Meta’s next-generation LLM, through a managed API.

APIs 140

APIs Enterprise Best practices Government 140

aircall

MARCH 17, 2021

When you use best practices in sales planning, everyone involved benefits — marketing teams, sales managers, sales teams, and your customers. Best practices for sales planning begins with an overall comprehensive plan that serves as your roadmap for sales call planning. Best Practices to Improve Sales Planning .

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AWS Machine Learning

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1.

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AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

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AWS Machine Learning

FEBRUARY 5, 2025

Some links for security best practices are shared below but we strongly recommend reaching out to your account team for detailed guidance and to discuss the appropriate security architecture needed for a secure and compliant deployment. model API exposed by SageMaker JumpStart properly. How do I train my cat?"

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Chatbots Construction Best practices Government 112

AWS Machine Learning

FEBRUARY 13, 2023

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The following diagram illustrates the solution architecture.

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