AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 109

APIs Government Best practices Metrics 109

AWS Machine Learning

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This is particularly useful in healthcare, financial services, and legal sectors.

APIs 97

APIs Chatbots Enterprise Healthcare 97

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. These five webpages act as a knowledge base (source data) to limit the RAG models response. get("message", {}).get("content")

Benchmark 103

Benchmark APIs Enterprise Scripts 103

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. One consistent pain point of fine-tuning is the lack of data to effectively customize these models.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 129

APIs Scripts Accountability Entertainment 129

AWS Machine Learning

DECEMBER 18, 2024

Generative AIpowered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business.

APIs 86

APIs Enterprise Accountability Government 86

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 131

APIs Enterprise Best practices Accountability 131

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. Amazon Cognito complements these defenses by enabling user authentication and data synchronization.

APIs 108

APIs Scripts Best practices Management 108

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 127

APIs Transportation Best practices Enterprise 127

AWS Machine Learning

MARCH 19, 2025

In my decade working with customers data journeys, Ive seen that an organizations most valuable asset is its domain-specific data and expertise. The team deployed dozens of models on SageMaker AI endpoints, using Triton Inference Servers model concurrency capabilities to scale globally across AWS data centers.

Healthcare 125

Healthcare Enterprise APIs Transportation 125

AWS Machine Learning

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. This feature allows you to separate data into logical partitions, making it easier to analyze and process data later.

Best practices 110

Best practices Feedback Metrics APIs 110

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 126

APIs Banking Best practices Engineering 126

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 110

APIs Call Center Engineering Personalization 110

AWS Machine Learning

DECEMBER 11, 2024

We discuss how our sales teams are using it today, compare the benefits of Amazon Q Business as a managed service to the do-it-yourself option, review the data sources available and high-level technical design, and talk about some of our future plans. The following screenshot shows an example of an interaction with Field Advisor.

Sales 101

Sales Accountability APIs CRM 101

AWS Machine Learning

JANUARY 28, 2025

Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing prompt template quality, input data quality, and ultimately, the entire application stack. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process.

Management 104

Management APIs Engineering Metrics 104

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. In addition, GraphStorm 0.3

APIs 115

APIs Benchmark Construction Enterprise 115

AWS Machine Learning

MARCH 25, 2025

For more information about the SageMaker AI API, refer to the SageMaker AI API Reference. 8B-Instruct to DeepSeek-R1-Distill-Llama-8B, but the new model version has different API expectations. In this use case, you have configured a CloudWatch alarm to monitor for 4xx errors, which would indicate API compatibility issues.

APIs 85

APIs Engineering Accountability Metrics 85

AWS Machine Learning

NOVEMBER 20, 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.

Construction 115

Construction APIs Metrics Accountability 115

AWS Machine Learning

JANUARY 24, 2025

Fine-tuning pre-trained language models allows organizations to customize and optimize the models for their specific use cases, providing better performance and more accurate outputs tailored to their unique data and requirements. Amazon Bedrock prioritizes security through a comprehensive approach to protect customer data and AI workloads.

Best practices 112

Best practices Accountability industry standards Metrics 112

AWS Machine Learning

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API. which is received by the Invoke Agent function.

Engineering 119

Engineering APIs Analytics Enterprise 119

AWS Machine Learning

DECEMBER 9, 2024

In the initial stages of an ML project, data scientists collaborate closely, sharing experimental results to address business challenges. MLflow , a popular open-source tool, helps data scientists organize, track, and analyze ML and generative AI experiments, making it easier to reproduce and compare results.

Metrics 95

Metrics APIs Engineering Accountability 95

AWS Machine Learning

MAY 30, 2024

The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale. Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts.

Real estate 128

Real estate APIs Metrics Construction 128

AWS Machine Learning

MAY 1, 2024

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. It allows you to retrieve data from sources beyond the foundation model, enhancing prompts by integrating contextually relevant retrieved data.

Chatbots 128

Chatbots APIs Engineering Automotive 128

AWS Machine Learning

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

Enterprise 91

Enterprise Engineering APIs Best practices 91

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 127

Accountability Government Engineering Scripts 127

AWS Machine Learning

SEPTEMBER 20, 2024

These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Management 132

Management APIs Engineering Government 132

AWS Machine Learning

FEBRUARY 21, 2025

This serves as an example of how generative AI can streamline operations that involve diverse data types and formats. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

APIs 85

APIs Healthcare Consulting Consulting 85

AWS Machine Learning

FEBRUARY 25, 2025

To build a generative AI -based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. First, you would need build connectors to the data sources. For a full list of supported data source connectors, see Amazon Q Business connectors.

Enterprise 92

Enterprise Engineering APIs Accountability 92

AWS Machine Learning

FEBRUARY 11, 2025

Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. An agent helps your end users complete actions based on organization data and user input.

APIs 80

APIs Enterprise Accountability Management 80

AWS Machine Learning

JULY 2, 2024

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. The request is sent by the web application to the API. installed Node.js

APIs 136

APIs Scripts Enterprise Engineering 136

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 93

Metrics Engineering APIs Benchmark 93

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 87

Enterprise Government Accountability Finance 87

AWS Machine Learning

NOVEMBER 15, 2024

This post focuses on doing RAG on heterogeneous data formats. We first introduce routers, and how they can help managing diverse data sources. We then give tips on how to handle tabular data and will conclude with multimodal RAG, focusing specifically on solutions that handle both text and image data.

APIs 117

APIs Engineering Chatbots Construction 117

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. Introducing Amazon Rekognition Custom Moderation You can now enhance the accuracy of the Rekognition moderation model for your business-specific data with the Custom Moderation feature.

APIs 131

APIs Best practices Advertising Accountability 131

AWS Machine Learning

JUNE 12, 2024

The main idea is to supply historic data to an ML algorithm that can identify patterns from the past and then use those patterns to estimate likely values about unseen periods in the future. Agribusinesses forecast crop yields using weather data like rainfall, temperature, humidity, and more.

APIs 122

APIs Airlines Sales Management 122

AWS Machine Learning

NOVEMBER 22, 2024

Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

APIs 89

APIs Technology Management Enterprise 89