AWS Machine Learning

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management.

APIs 108

APIs Chatbots Enterprise Customer centricity 108

AWS Machine Learning

MARCH 19, 2025

They use a highly optimized inference stack built with NVIDIA TensorRT-LLM and NVIDIA Triton Inference Server to serve both their search application and pplx-api, their public API service that gives developers access to their proprietary models. The results speak for themselvestheir inference stack achieves up to 3.1

Healthcare 137

Healthcare Enterprise APIs Transportation 137

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, 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.

APIs 113

APIs Call flow Accountability Technology 113

AWS Machine Learning

MARCH 12, 2024

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner.

Advertising 118

Advertising Accountability APIs Best practices 118

AWS Machine Learning

MARCH 11, 2025

Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. The implementation used the universal gateway provided by the FloTorch enterprise version to enable consistent API calls using the same function and to track token count and latency metrics uniformly. get("message", {}).get("content")

Benchmark 93

Benchmark APIs Enterprise Scripts 93

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 103

Best practices Feedback Metrics APIs 103

AWS Machine Learning

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system. We give more details on that aspect later in this post.

APIs 112

APIs Engineering Chatbots Construction 112

AWS Machine Learning

MARCH 4, 2025

The assessment includes a solution summary, an evaluation against Well-Architected pillars, an analysis of adherence to best practices, actionable improvement recommendations, and a risk assessment. Your data remains in the AWS Region where the API call is processed. All data is encrypted in transit and at rest.

Best practices 99

Best practices Enterprise Engineering Strategic Value 99

AWS Machine Learning

NOVEMBER 21, 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, Mistral AI, 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.

APIs 105

APIs Call Center Engineering Personalization 105

AWS Machine Learning

MARCH 27, 2025

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

Education 100

Education Engineering APIs Enterprise 100

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.

Metrics 88

Metrics Engineering Benchmark APIs 88

AWS Machine Learning

MARCH 3, 2025

You can review the Mistral published benchmarks Prerequisites To try out Pixtral 12B in Amazon Bedrock Marketplace, you will need the following prerequisites: An AWS account that will contain all your AWS resources. You can find detailed usage instructions, including sample API calls and code snippets for integration.

Benchmark 88

Benchmark APIs Enterprise Construction 88

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 102

APIs Chatbots Construction Engineering 102

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 82

APIs Healthcare Consulting Consulting 82

AWS Machine Learning

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API.

Feedback 118

Feedback Engineering Enterprise Technical Support 118

AWS Machine Learning

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely.

Enterprise 85

Enterprise Engineering APIs Best practices 85

AWS Machine Learning

MAY 30, 2024

In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. When it comes to video analysis, priorities include brand safety, regulatory compliance, and engaging content.

Advertising 129

Advertising APIs Education Analytics 129

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 108

Engineering Management APIs Healthcare 108

AWS Machine Learning

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

Enterprise 80

Enterprise Government Accountability Finance 80

AWS Machine Learning

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

Sales 100

Sales APIs Engineering Analytics 100

AWS Machine Learning

FEBRUARY 25, 2025

These delays can lead to missed security errors or compliance violations, especially in complex, multi-account environments. Amazon Bedrock Agents is a fully managed service that helps developers create AI agents that can break down complex tasks into steps and execute them using FMs and APIs to accomplish specific business objectives.

APIs 63

APIs Accountability Engineering Construction 63

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 75

APIs Scripts Metrics Surveys 75

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. Pre-built templates tailored to various use cases are included, significantly enhancing both employee and customer experiences.

Enterprise 74

Enterprise APIs Engineering Government 74

AWS Machine Learning

MAY 15, 2023

Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.

APIs 84

APIs Construction Accountability Best practices 84

AWS Machine Learning

APRIL 10, 2025

Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 99

APIs Metrics Best practices Construction 99

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. He has been helping customers at AWS for the past 4.5

Entertainment 75

Entertainment APIs Technology Feedback 75

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Solution overview The solution comprises two main steps: Generate synthetic data using the Amazon Bedrock InvokeModel API.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

FEBRUARY 13, 2023

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. This is where advanced log analysis comes into play. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account.

Scripts 84

Scripts Best practices Transportation Construction 84

AWS Machine Learning

NOVEMBER 21, 2024

The UI allows for playback speed adjustment and zoom functionality for precise audio analysis. Add team members using their email addresses—they will receive instructions to set up their accounts. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API.

APIs 85

APIs Feedback Telecommunications Management 85

AWS Machine Learning

NOVEMBER 1, 2022

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. Additionally, we won’t be able to make an informed decision post-analysis of those insights prior to building the ML models. Overview of solution.

Engineering 97

Engineering APIs Accountability industry solution 97

AWS Machine Learning

MARCH 13, 2024

Latency and cost are also critical factors that must be taken into account. The system records all audio conversations without immediate analysis. When a report is received, the workflow retrieves the related audio files and initiates the analysis process. This represents a passive approach to audio moderation.

APIs 126

APIs Engineering Advertising Management 126

AWS Machine Learning

APRIL 5, 2024

Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows. A grid system is established with a 48-meter grid size using Mapbox’s Supermercado Python library at zoom level 19, enabling precise spatial analysis.

APIs 122

APIs Engineering Analytics Healthcare 122

AWS Machine Learning

MARCH 19, 2024

PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. Beyond time series data analysis, FMs prove valuable in various industrial applications. The user can use the Amazon Recognition DetectText API to extract text data from these images.

Construction 132

Construction Scripts APIs Enterprise 132

AWS Machine Learning

JULY 17, 2024

Ingesting data for support cases, Trusted Advisor checks, and AWS Health notifications into Amazon Q Business enables interactions through natural language conversations, sentiment analysis, and root cause analysis without needing to fully understand the underlying data models or schemas. Synchronize the data source to index the data.

Scripts 112

Scripts APIs Enterprise Accountability 112

AWS Machine Learning

MARCH 14, 2025

You can confirm that the models are enabled for your account on the Model access page of the Amazon Bedrock console. Start a knowledge base evaluation job using Python SDK and APIs To use the Python SDK for creating a knowledge base evaluation job, follow these steps. Selected evaluator and generator models enabled in Amazon Bedrock.

Metrics 89

Metrics Best practices Engineering APIs 89

AWS Machine Learning

JUNE 5, 2024

Prerequisites Before diving into this use case, complete the following prerequisites: Set up an AWS account. You can train a custom classifier using either the Amazon Comprehend console or API. Use the Amazon Comprehend console or API operations such as DescribeDocumentClassifier to retrieve the metrics for a custom classifier.

APIs 103

APIs Metrics Accountability Enterprise 103

AWS Machine Learning

FEBRUARY 10, 2025

It provides critical insights on performance, risk exposures, and credit policy alignment, enabling informed commercial decisions without requiring in-depth analysis skills. They provide access to external data and APIs or enable specific actions and computation. Tools Tools extend agent capabilities beyond the FM.

Chief Customer Officer 88

Chief Customer Officer Banking SaaS Engineering 88