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 94

APIs Chatbots Enterprise Healthcare 94

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

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 108

Engineering APIs Sales Enterprise 108

AWS Machine Learning

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API.

APIs 95

APIs Automotive Accountability Analytics 95

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 99

Benchmark APIs Enterprise Scripts 99

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 108

APIs Government Best practices Metrics 108

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 129

APIs Enterprise Best practices Accountability 129

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 123

APIs Banking Best practices Engineering 123

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 105

APIs Scripts Best practices Management 105

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API.

APIs 87

APIs Scripts Enterprise Management 87

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. The retriever pulls data from the index in real time during a conversation.

APIs 83

APIs Enterprise Accountability Government 83

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 125

APIs Transportation Best practices Enterprise 125

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 114

APIs Benchmark Construction Enterprise 114

AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Prerequisites AWS Command Line Interface (CLI), follow instructions here.

APIs 107

APIs Engineering CRM Enterprise 107

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 108

APIs Call Center Engineering Personalization 108

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 100

Management APIs Engineering Metrics 100

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 127

APIs Scripts Accountability Entertainment 127

Momentum Telecom

JANUARY 31, 2025

However, the technology also comes with considerable data security and privacy concerns. Maximizing your investment in AI means navigating these roadblocks without compromising on privacy and data security for sensitive company info, customer data, and proprietary information.

Government 59

Government Education Enterprise APIs 59

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 122

Healthcare Enterprise APIs Transportation 122

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 127

Real estate APIs Metrics Construction 127

AWS Machine Learning

JULY 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Create and ingest data and metadata into the knowledge base. txt.metadata.json.

APIs 122

APIs Engineering Enterprise Management 122

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 125

Chatbots APIs Engineering Automotive 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 108

Best practices Feedback Metrics APIs 108

AWS Machine Learning

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. Choose Test knowledge base.

APIs 134

APIs Engineering Healthcare Education 134

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 104

APIs Chatbots Construction Engineering 104

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 131

Management APIs Engineering Government 131

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 84

APIs Healthcare Consulting Consulting 84

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 121

APIs Airlines Sales Management 121

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 84

APIs Engineering Accountability Metrics 84

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 116

Engineering APIs Analytics Enterprise 116

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 115

APIs Engineering Chatbots Construction 115

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 113

Construction APIs Metrics Accountability 113

AWS Machine Learning

MARCH 4, 2025

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. We provide the upstream components, including document ingestion and query formatting, as static data instead of code.

APIs 83

APIs Best practices Management Personalization 83

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 85

APIs Technology Management Enterprise 85

AWS Machine Learning

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

APIs 107

APIs Engineering Personalization Transportation 107

PeopleMetrics

MARCH 7, 2025

To survey customers right after an interaction, you need a real-time, automated flow of transactional data from internal systems like: CRM systems (for tracking sales and support interactions) Point-of-sale systems (for in-store purchases) Customer service platforms (for tracking phone or chat support) The biggest problem?

APIs 62

APIs Surveys CRM Feedback 62

AWS Machine Learning

APRIL 17, 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.

APIs 131

APIs Construction Management Analytics 131