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. In the low-latency case, you need to account for the time it takes to generate the embedding vectors.

Best practices 107

Best practices Engineering SaaS APIs 107

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 96

Chatbots APIs Engineering Automotive 96

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 99

APIs Construction Engineering Enterprise 99

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. Minimally, you must specify the following properties: Name – Specify a name for the knowledge base.

APIs 99

APIs Enterprise Scripts Accountability 99

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. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

APIs 85

APIs Engineering Advertising Accountability 85

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 117

Best practices Government Engineering Accountability 117

Cincom

MAY 8, 2024

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Configurable rules encode compliance requirements and best practices to guide users and skip unnecessary steps.

Enterprise 52

Enterprise Sales CRM Engineering 52

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 92

APIs Government Enterprise Engineering 92

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 102

APIs Best practices Advertising Accountability 102

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. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 94

APIs Engineering Scripts Management 94

AWS Machine Learning

NOVEMBER 2, 2023

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections.

APIs 98

APIs Education Transportation Accountability 98

AWS Machine Learning

NOVEMBER 17, 2023

The action is an API that the model can invoke from an allowed set of APIs. Components in agents for Amazon Bedrock Behind the scenes, agents for Amazon Bedrock automate the prompt engineering and orchestration of user-requested tasks. It, then, uses the API schema to invoke corresponding code in the Lambda function.

APIs 82

APIs Customer Service Construction Analytics 82

Stratifyd

JANUARY 3, 2019

As a Senior Back-End Software Engineer with Stratifyd, Inc. you will be work collaboratively with a talented group of engineers, designers, and product managers to create a functional seamless experience for the end-user. Key accountabilities & responsibilities. and Python/C API. Required Skills & Experience.

Engineering 40

Engineering APIs Analytics Healthcare 40

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. The Health Insurance Portability and Accountability Act (HIPAA), enacted in 1996, fundamentally shapes the U.S.

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

Best practices 106

Best practices Benchmark Transportation Engineering 106

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. For details, refer to Creating an AWS account.

APIs 84

APIs Chatbots Engineering Best practices 84

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 118

Scripts APIs Engineering Construction 118

AWS Machine Learning

NOVEMBER 22, 2023

It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices. Teams should regularly meet and discuss topics such as organizational goals and targets with your IDP solution, current state of cost and usage, and financial and accounting practices.

Finance 78

Finance Best practices APIs Accountability 78

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.

Best practices 95

Best practices Engineering Metrics APIs 95

AWS Machine Learning

NOVEMBER 9, 2022

In this post, we discuss SageMaker multi-variant endpoints and best practices for optimization. Your application simply needs to include an API call with the target model to this endpoint to achieve low-latency, high-throughput inference. Best practices for multi-variant endpoints. About the authors.

Best practices 52

Best practices Construction Metrics Enterprise 52

AWS Machine Learning

FEBRUARY 19, 2024

Inference API – The server exposes an API that allows client applications to send input data and receive predictions from the deployed models. Integration with backend engines – Model servers have integrations with backend frameworks like DeepSpeed and FasterTransformer to partition large models and run highly optimized inference.

APIs 89

APIs Engineering Scripts Metrics 89

AWS Machine Learning

MARCH 19, 2024

Workers gain productivity through AI-generated insights, engineers can proactively detect anomalies, supply chain managers optimize inventories, and plant leadership makes informed, data-driven decisions. The user can use the Amazon Recognition DetectText API to extract text data from these images.

Construction 110

Construction Scripts APIs Enterprise 110

AWS Machine Learning

NOVEMBER 17, 2022

Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. Extendibility – It can deploy to new Regions and accounts. SageMaker Model Monitor APIs offer data and model quality monitoring. ELC is a process optimization use case and is deployed to optimize workload accounts.

APIs 91

APIs Accountability Metrics Engineering 91

AWS Machine Learning

MAY 7, 2024

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Engineering 91

Engineering Technical Support Chatbots Best practices 91

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 72

APIs Benchmark Best practices Engineering 72

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 69

APIs Government Accountability Scripts 69

AWS Machine Learning

JANUARY 13, 2023

In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Historically at TR, ML has been a capability for teams with advanced data scientists and engineers. The challenges. Solution overview.

Government 74

Government Engineering Enterprise APIs 74

AWS Machine Learning

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

Engineering 91

Engineering APIs Scripts Entertainment 91

AWS Machine Learning

JANUARY 24, 2024

Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Cohere language models in Amazon Bedrock The Cohere Platform brings language models with state-of-the-art performance to enterprises and developers through a simple API call.

Enterprise 122

Enterprise APIs Advertising Technology 122

AWS Machine Learning

OCTOBER 2, 2023

Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. MLOps engineers want to work using infrastructure as code (IaC) tools and might be more familiar with the AWS Management Console. What does this mean for our pipeline architecture?

Engineering 86

Engineering APIs Management Accountability 86

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 90

APIs Metrics Consulting Consulting 90

AWS Machine Learning

DECEMBER 6, 2023

Amazon Bedrock is fully serverless with no underlying infrastructure to manage extending access to available models through a single API. In Q4’s solution, we use Amazon Bedrock as a serverless, API-based, multi-foundation model building block. LangChain supports Amazon Bedrock as a multi-foundation model API.

Chatbots 93

Chatbots APIs Engineering CRM 93

AWS Machine Learning

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Integrating security in our workflow Following the best practices of the Security Pillar of the Well-Architected Framework , Amazon Cognito is used for authentication.

APIs 90

APIs Healthcare Scripts Engineering 90

AWS Machine Learning

NOVEMBER 24, 2023

To limit the cost associated with the workspace instances, as a best practice, you must log out, do not close the browser tab. All that is needed to do is change the line of code calling the DeleteApp API into CreateApp , as well as updating the cron expression to reflect the desired app creation time.

APIs 87

APIs Metrics Engineering Scripts 87

AWS Machine Learning

MARCH 19, 2024

Furthermore, the use of prompt engineering can notably enhance their performance. With the batch inference API, you can use Amazon Bedrock to run inference with foundation models in batches and get responses more efficiently. Prerequisites This walkthrough assumes the following prerequisites: An AWS account with a ml.t3.medium

APIs 97

APIs Benchmark SaaS Engineering 97

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Dev Account – The CI/CD pipelines will further trigger ML pipelines in this account covering data pre-processing, model training and post processing like model evaluation and registration.

Government 86

Government Accountability Enterprise Engineering 86

AWS Machine Learning

MAY 31, 2023

Triton supports various backends as engines to power the running and serving of different framework models , like PyTorch, TensorFlow, TensorRT, or ONNX Runtime. Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. This is the key differentiator. 4xlarge instance).

APIs 79

APIs Scripts Engineering Accountability 79