AWS Machine Learning

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 125

APIs Scripts Accountability Entertainment 125

AWS Machine Learning

NOVEMBER 15, 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 106

APIs Government Best practices Metrics 106

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 110

Engineering Management APIs Healthcare 110

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. Using natural language processing (NLP) and OpenAPI specs, Amazon Bedrock Agents dynamically manages API sequences, minimizing dependency management complexities.

APIs 128

APIs Enterprise Best practices Accountability 128

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 139

Healthcare Enterprise APIs Transportation 139

AWS Machine Learning

DECEMBER 18, 2024

Enterprises that have adopted ServiceNow can improve their operations and boost user productivity by using Amazon Q Business for various use cases, including incident and knowledge management. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business.

APIs 79

APIs Enterprise Accountability Government 79

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. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS.

APIs 123

APIs Transportation Best practices Enterprise 123

AWS Machine Learning

MARCH 14, 2025

This integration brings Anthropics visual perception capabilities as a managed tool within Amazon Bedrock Agents, providing you with a secure, traceable, and managed way to implement computer use automation in your workflows. Today, were announcing computer use support within Amazon Bedrock Agents using Anthropics Claude 3.5

APIs 105

APIs Engineering CRM Enterprise 105

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 96

Benchmark APIs Enterprise Scripts 96

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 120

APIs Banking Best practices Engineering 120

AWS Machine Learning

OCTOBER 30, 2024

With Global Resiliency, you no longer need to manually manage separate bots across Regions, because the feature automatically replicates and keeps Regional configurations in sync. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs.

Chatbots 99

Chatbots Interactive Voice Response APIs Telecommunications 99

AWS Machine Learning

JANUARY 24, 2025

Generative AI scoping framework Start by understanding where your generative AI application fits within the spectrum of managed vs. custom. These steps might involve both the use of an LLM and external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 102

APIs Scripts Best practices Management 102

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 82

APIs Engineering Accountability Metrics 82

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 93

Sales Accountability APIs CRM 93

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. Specifically, GraphStorm 0.3

APIs 112

APIs Benchmark Construction Enterprise 112

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 103

APIs Chatbots Construction Engineering 103

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 107

APIs Call Center Engineering Personalization 107

AWS Machine Learning

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

Accountability 125

Accountability Government Engineering Scripts 125

AWS Machine Learning

OCTOBER 29, 2024

Key highlights of the solution include: Decorator – Decorators are applied to functions invoking Amazon Bedrock APIs, capturing input prompt, output results, custom metadata, custom metrics, and latency related metrics. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

Best practices 105

Best practices Feedback Metrics APIs 105

AWS Machine Learning

DECEMBER 9, 2024

SageMaker is a comprehensive, fully managed ML service designed to provide data scientists and ML engineers with the tools they need to handle the entire ML workflow. Amazon SageMaker with MLflow is a capability in SageMaker that enables users to create, manage, analyze, and compare their ML experiments seamlessly.

Metrics 88

Metrics APIs Engineering Accountability 88

AWS Machine Learning

JULY 29, 2024

Effective customer support and project management are critical aspects of providing effective customer relationship management. You also need to hire and staff a large team to build, maintain, and manage such a system. You can authenticate Amazon Q Business to Jira using basic authentication with a Jira ID and Jira API token.

Customer Support 120

Customer Support APIs Management Enterprise 120

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 111

Construction APIs Metrics Accountability 111

AWS Machine Learning

JANUARY 24, 2025

The workflow steps are as follows: The user submits an Amazon Bedrock fine-tuning job within their AWS account, using IAM for resource access. The fine-tuning job initiates a training job in the model deployment accounts. The following architecture diagram explains the workflow of Amazon Bedrock model fine-tuning. Choose Create key.

Best practices 109

Best practices Accountability industry standards Metrics 109

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. This Lambda function used a weather API to fetch up-to-date meteorological data.

APIs 80

APIs Enterprise Accountability Management 80

AWS Machine Learning

JULY 10, 2024

Today, we’re excited to introduce two powerful new features for Amazon Bedrock: Prompt Management and Prompt Flows, in public preview. You can use the Prompt Management and Flows features graphically on the Amazon Bedrock console or Amazon Bedrock Studio, or programmatically through the Amazon Bedrock SDK APIs.

Management 122

Management APIs Chatbots Best practices 122

AWS Machine Learning

JULY 2, 2024

Organizations also require the implementation of common security practices such as identity and access management, to make sure that only authorized and authenticated users are allowed to perform specific actions or access specific resources. The request is sent by the web application to the API.

APIs 129

APIs Scripts Enterprise Engineering 129

AWS Machine Learning

MARCH 27, 2025

How would a skilled manager handle a very smart, but new and inexperienced employee? The manager would provide contextual background, explain the problem, explain the rules they should apply when analyzing the problem, and give some examples of what good looks like along with why it is good. Create a private JupyterLab space.

Education 89

Education Engineering APIs Enterprise 89

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

Engineering 112

Engineering APIs Analytics Enterprise 112

AWS Machine Learning

FEBRUARY 9, 2024

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

SaaS 141

SaaS APIs Government Accountability 141

AWS Machine Learning

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

Enterprise 86

Enterprise Engineering APIs Best practices 86

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 83

APIs Healthcare Consulting Consulting 83

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 81

Enterprise Government Accountability Finance 81

AWS Machine Learning

FEBRUARY 28, 2025

Amazon Q Business is a fully managed, generative AIpowered assistant that empowers enterprises to unlock the full potential of their data and organizational knowledge. Smartsheet, the AI-enhanced enterprise-grade work management platform, helps users manage projects, programs, and processes at scale.

APIs 64

APIs Enterprise Accountability Management 64

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. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

Management 130

Management APIs Engineering Government 130

AWS Machine Learning

FEBRUARY 25, 2025

Additionally, you might need to hire and staff a large team to build, maintain, and manage such a system. Amazon Q Business is a fully managed generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

Enterprise 86

Enterprise Engineering APIs Accountability 86

AWS Machine Learning

MARCH 18, 2025

Beyond Amazon Bedrock models, the service offers the flexible ApplyGuardrails API that enables you to assess text using your pre-configured guardrails without invoking FMs, allowing you to implement safety controls across generative AI applicationswhether running on Amazon Bedrock or on other systemsat both input and output levels.

Government 85

Government APIs Enterprise Technology 85

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 89

Metrics Engineering APIs Benchmark 89