AWS Machine Learning

FEBRUARY 12, 2025

This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process.

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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

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. To do so, we create a knowledge base. The following diagram illustrates the solution architecture.

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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

AUGUST 2, 2024

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 117

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AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

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AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent.

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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 98

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AWS Machine Learning

JANUARY 10, 2023

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. Metrics to track.

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AWS Machine Learning

NOVEMBER 19, 2024

In this session, learn best practices for effectively adopting generative AI in your organization. Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology.

APIs 106

APIs Enterprise Best practices Government 106

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. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

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AWS Machine Learning

SEPTEMBER 7, 2023

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

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AWS Machine Learning

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Metrics 103

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AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

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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.

Government 128

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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. Adapters can be created via the console or programmatically via the API. MICR line format). Who is the payee?

APIs 127

APIs Best practices Banking Accountability 127

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 120

APIs Calibration Best practices Metrics 120

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.

Entertainment 85

Entertainment APIs Technology Feedback 85

AWS Machine Learning

DECEMBER 5, 2022

Then we dive into the two key metrics used to evaluate a biometric system’s accuracy: the false match rate (also known as false acceptance rate) and false non-match rate (also known as false rejection rate). Finally, we discuss a framework and best practices for performing an evaluation of an identity verification service.

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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

JANUARY 29, 2025

To facilitate this, the centralized account uses API gateways or other integration points provided by the LOBs AWS accounts. The centralized team maintains adherence to common standards, best practices, and organizational policies, while also enabling efficient sharing and reuse of generative AI components.

Enterprise 98

Enterprise Government Accountability Finance 98

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. The Llama 3.1

Chatbots 110

Chatbots Construction Best practices APIs 110

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.

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AWS Machine Learning

FEBRUARY 25, 2025

Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. As a security best practice, storing the client application data in Secrets Manager is recommended. You must create and run the crawler that determines the documents your data source indexes. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 104

Enterprise Engineering APIs Accountability 104

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 136

APIs Advertising Entertainment Metrics 136

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 139

APIs Enterprise Best practices Government 139

CSM Magazine

FEBRUARY 19, 2025

Challenge 2: Integration with Wearables and Third-Party APIs Many people use smartwatches and heart rate monitors to measure sleep, stress, and physical activity, which may affect mental health. Third-party APIs may link apps to healthcare and meditation services. However, integrating these diverse sources is not straightforward.

APIs 52

APIs Healthcare Gamification Consulting 52

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. This tool launches multiple requests from the test users client to the FM endpoint and measures various performance metrics, including TTFT. Each request contains a random prompt with a mean token count of 250 tokens.

APIs 82

APIs Benchmark Metrics Healthcare 82

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs 128

APIs Construction Engineering Analytics 128

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. Businesses can track key metrics related to agent performance, customer satisfaction, and operational efficiency across all channels.

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

AWS Machine Learning

SEPTEMBER 21, 2023

In particular, we provide practical best practices for different customization scenarios, including training models from scratch, fine-tuning with additional data using full or parameter-efficient techniques, Retrieval Augmented Generation (RAG), and prompt engineering.

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AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 127

APIs Metrics Consulting Consulting 127

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Who does GDPR apply to?

Best practices 130

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aircall

MAY 28, 2021

With best practices for text messaging, your customer-facing teams will provide better service, while your sales and marketing teams can better interact with leads on a more personalized scale to more efficiently close deals. Why Use Text Messaging Best Practices. SMS Marketing: Text Messaging Marketing Best Practices.

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AWS Machine Learning

SEPTEMBER 12, 2023

MLOps – Because the SageMaker endpoint is private and can’t be reached by services outside of the VPC, an AWS Lambda function and Amazon API Gateway public endpoint are required to communicate with CRM. The function then relays the classification back to CRM through the API Gateway public endpoint.

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AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 98

Metrics Engineering Accountability Telecommunications 98

AWS Machine Learning

OCTOBER 16, 2023

Apart from GPU provisioning, this setup also required data scientists to build a REST API wrapper for each model, which was needed to provide a generic interface for other company services to consume, and to encapsulate preprocessing and postprocessing of model data. Two MMEs were created at Veriff, one for staging and one for production.

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APIs Best practices Engineering Metrics 114