AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs.

Management 100

Management APIs Engineering Metrics 100

AWS Machine Learning

OCTOBER 29, 2024

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

Best practices 108

Best practices Feedback Metrics APIs 108

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs 123

APIs Banking Best practices Engineering 123

AWS Machine Learning

MARCH 27, 2025

Based on our experiments using best-in-class supervised learning algorithms available in AutoGluon , we arrived at a 3,000 sample size for the training dataset for each category to attain an accuracy of 90%. Sonnet prediction accuracy through prompt engineering. Model access Grant permission to use Anthropics Claude 3.5

Education 105

Education Engineering APIs Enterprise 105

AWS Machine Learning

APRIL 3, 2025

When complete, a notification chain using Amazon Simple Queue Service (Amazon SQS) and our internal notifications service API gateway begins delivering updates using Slack direct messaging and storing searchable records in OpenSearch for future reference. Outside of work, he is an avid tennis player and amateur skier.

Accountability 91

Accountability Sales CRM APIs 91

AWS Machine Learning

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

Best practices 129

Best practices Engineering Chatbots Enterprise 129

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. To mitigate the issue, implement data sanitization practices through content filters in Amazon Bedrock Guardrails.

APIs 105

APIs Scripts Best practices Management 105

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())

Metrics 91

Metrics Engineering Benchmark APIs 91

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. Instead of relying on prompt engineering, tool choice forces the model to adhere to the settings in place. Tool choice with Amazon Nova The toolChoice API parameter allows you to control when a tool is called.

APIs 88

APIs Engineering Chatbots Best practices 88

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.

Government 93

Government Management APIs Accountability 93

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.

Best practices 105

Best practices Enterprise Engineering Strategic Value 105

AWS Machine Learning

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. For example, the Datastore API might require certain input like date periods to query data.

Enterprise 89

Enterprise Engineering APIs Best practices 89

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. Conduct quarterly training refreshers to introduce new features and best practices.

Best practices 40

Best practices Sales CRM Finance 40

AWS Machine Learning

APRIL 9, 2024

In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts with a knowledge base prompt template. For best practices on prompt engineering, refer to Prompt engineering guidelines.

APIs 134

APIs Engineering Healthcare Education 134

AWS Machine Learning

NOVEMBER 1, 2024

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. Sonnet across various tasks.

Best practices 94

Best practices APIs Finance Metrics 94

AWS Machine Learning

NOVEMBER 19, 2024

Leave the session inspired to bring Amazon Q Apps to supercharge your teams’ productivity engines. In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation.

APIs 92

APIs Enterprise Best practices Government 92

AWS Machine Learning

JULY 7, 2022

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

Best practices 90

Best practices Metrics APIs Accountability 90

AWS Machine Learning

NOVEMBER 15, 2024

Use cases we have worked on include: Technical assistance for field engineers – We built a system that aggregates information about a company’s specific products and field expertise. A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization.

APIs 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

FEBRUARY 25, 2025

As a security best practice, storing the client application data in Secrets Manager is recommended. With the connector ready, move over to the SageMaker Studio notebook and perform data synchronization operations by invoking Amazon Q Business APIs. Enter an easily identifiable application name, and choose Save.

Enterprise 89

Enterprise Engineering APIs Accountability 89

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.

Government 120

Government APIs Enterprise Best practices 120

AWS Machine Learning

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. He has two graduate degrees in physics and a doctorate in engineering. He has an M.S.

Metrics 92

Metrics Best practices Engineering APIs 92

AWS Machine Learning

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.

APIs 140

APIs Big data Accountability Enterprise 140

AWS Machine Learning

AUGUST 27, 2024

Currently, users might have to engineer their applications to handle scenarios involving traffic spikes that can use service quotas from multiple regions by implementing complex techniques such as client-side load balancing between AWS regions, where Amazon Bedrock service is supported. Key features and benefits.

APIs 141

APIs Engineering Best practices Management 141

Inbenta

APRIL 29, 2020

This short timeframe is made possible by: An API with a multitude of proven functionalities; A proprietary and patented NLP technology developed and perfected over the course of 15 years by our in-house Engineers and Linguists; A well-established development process. Project instances that change along the way. A slow testing phase.

Chatbots 140

Chatbots APIs Construction Best practices 140

AWS Machine Learning

MAY 1, 2024

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, 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.

Chatbots 126

Chatbots APIs Engineering Automotive 126

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. No change to the legacy code is required.

Scripts 139

Scripts APIs Engineering Construction 139

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. Make sure to use best practices for rate limiting, backoff and retry, and load shedding.

Best practices 134

Best practices Engineering SaaS Accountability 134

AWS Machine Learning

MAY 17, 2024

The process of designing and refining prompts to get specific responses from these models is called prompt engineering. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API. Repeat the toxicity detection through the Comprehend API for the LLM generated response.

APIs 134

APIs Construction Engineering Enterprise 134

Calabrio

MARCH 4, 2025

Find out what it takes to deliver winning service and sales experiences across channelsincluding the best omnichannel contact center software options to support your efforts in 2025. Omnichannel contact center software is the engine that powers this unified view. Table of Contents What Is an Omnichannel Contact Center?

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

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.

APIs 119

APIs Calibration Best practices Metrics 119

AWS Machine Learning

APRIL 18, 2024

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, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 127

Scripts Best practices Engineering Accountability 127

AWS Machine Learning

NOVEMBER 21, 2024

This setup follows AWS best practices for least-privilege access, making sure CloudFront can only access the specific UI files needed for the annotation interface. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API.

APIs 90

APIs Feedback Telecommunications Management 90

AWS Machine Learning

NOVEMBER 17, 2023

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies.

APIs 111

APIs Engineering Advertising Accountability 111

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. API Gateway invokes a Lambda function to initiate model updates.

APIs 123

APIs Construction Engineering Analytics 123

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. The unique ID of the trained adapter can be provided to the existing DetectModerationLabels API operation to process images using this adapter.

APIs 130

APIs Best practices Advertising Accountability 130

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 118

APIs Government Enterprise Engineering 118

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 128

Real estate APIs Metrics Construction 128