AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Who does GDPR apply to?

Best practices 131

Best practices APIs Accountability Personalization 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. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 110

APIs Scripts Best practices Management 110

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

APIs 140

APIs Scripts Enterprise Management 140

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 129

Chatbots APIs Engineering Automotive 129

AWS Machine Learning

JULY 30, 2024

Knowledge Bases for Amazon Bedrock enables you to aggregate data sources into a repository of information. With knowledge bases, you can effortlessly build an application that takes advantage of RAG. By integrating web crawlers into the knowledge base, you can gather and utilize this web data efficiently.

APIs 117

APIs Enterprise Analytics Management 117

AWS Machine Learning

APRIL 18, 2024

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

APIs 135

APIs Accountability Analytics Entertainment 135

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 132

APIs Enterprise Best practices Accountability 132

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 113

Enterprise APIs Government Accountability 113

AWS Machine Learning

MARCH 4, 2025

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

Best practices 98

Best practices Enterprise Engineering Strategic Value 98

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 128

APIs Banking Best practices Engineering 128

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. This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL.

APIs 86

APIs Enterprise Accountability Government 86

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 129

APIs Transportation Best practices Enterprise 129

AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. Part 2 discusses architectural considerations and development lifecycle practices. It’s also a best practice to collect any extra information that would be shared with the agent in a production system.

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

MARCH 14, 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 via a single API. Knowledge base responses come with source citations to improve transparency and minimize hallucinations.

Best practices 132

Best practices Engineering Chatbots Enterprise 132

AWS Machine Learning

JANUARY 28, 2025

Similarly, maintaining detailed information about the datasets used for training and evaluation helps identify potential biases and limitations in the models knowledge base. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs.

Management 106

Management APIs Engineering Metrics 106

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 serverless architecture provides scalability and responsiveness, and secure storage houses the studios vast asset library and knowledge base.

Entertainment 79

Entertainment APIs Technology Feedback 79

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 95

Metrics Engineering APIs Benchmark 95

AWS Machine Learning

NOVEMBER 19, 2024

In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation. This chalk talk demonstrates how to process machine-generated signals into your contact center, allowing your knowledge base to provide real-time solutions.

APIs 98

APIs Enterprise Best practices Government 98

AWS Machine Learning

NOVEMBER 15, 2024

In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We built a RAG system that combines these diverse data types into a single knowledge base, allowing analysts to efficiently access and correlate information.

APIs 118

APIs Engineering Chatbots Construction 118

AWS Machine Learning

NOVEMBER 1, 2024

By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities. In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock.

Best practices 97

Best practices APIs Finance Engineering 97

Inbenta

APRIL 29, 2020

This short timeframe is made possible by: An API with a multitude of proven functionalities; A proprietary and patented NLP technology developed and perfected over the course of 15 years by our in-house Engineers and Linguists; A well-established development process. A knowledge base not ready on time. A slow testing phase.

Chatbots 140

Chatbots APIs Construction Best practices 140

AWS Machine Learning

APRIL 18, 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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 129

Scripts Best practices Engineering Accountability 129

AWS Machine Learning

JANUARY 29, 2025

With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG. Amazon Bedrock Knowledge Bases facilitates data ingestion from various supported data sources; manages data chunking, parsing, and embeddings; and populates the vector store with the embeddings.

Enterprise 88

Enterprise Government Accountability Finance 88

AWS Machine Learning

JULY 11, 2024

IaC generation and deployment : The second action group invokes a Lambda function that processes the user’s input data along with organization-specific coding guidelines from Knowledge Bases for Amazon Bedrock to create the IaC. Go directly to the Knowledge Base section. There are four steps to deploy the solution.

Scripts 136

Scripts APIs Engineering industry standards 136

AWS Machine Learning

OCTOBER 2, 2024

Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence.

Government 124

Government APIs Enterprise Best practices 124

AWS Machine Learning

JULY 10, 2024

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. Alternatively, you can use the CreateFlow API for a programmatic creation of flows that help you automate processes and development pipelines.

Management 129

Management APIs Chatbots Best practices 129

CSM Magazine

NOVEMBER 4, 2024

Native language call centers, chat platforms, knowledge bases, FAQs, social media channels, even online communities…are all options. Technological Complexities Translation integration and access might be hampered by disparate systems, changing APIs, coding errors, content control restrictions, inconsistent workflows, and reporting.

Customer Experience 52

Customer Experience APIs Advertising Marketing 52

AWS Machine Learning

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Make sure to use best practices for rate limiting, backoff and retry, and load shedding.

Best practices 136

Best practices Engineering SaaS Accountability 136

CSM Magazine

FEBRUARY 19, 2025

Challenge 2: Integration with Wearables and Third-Party APIs Many people use smartwatches and heart rate monitors to measure sleep, stress, and physical activity, which may affect mental health. Third-party APIs may link apps to healthcare and meditation services. However, integrating these diverse sources is not straightforward.

APIs 52

APIs Healthcare Gamification Consulting 52

AWS Machine Learning

AUGUST 21, 2024

AWS HealthScribe is a fully managed API-based service that generates preliminary clinical notes offline after the patient’s visit, intended for application developers. In the future, we expect LMA for healthcare to use the AWS HealthScribe API in addition to other AWS services. button, or enter your own question in the UI.

Healthcare 115

Healthcare Consulting Consulting APIs 115

AWS Machine Learning

SEPTEMBER 12, 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 unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Healthcare 129

Healthcare APIs Accountability Enterprise 129

AWS Machine Learning

OCTOBER 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, 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.

APIs 94

APIs Engineering Accountability Best practices 94

AWS Machine Learning

DECEMBER 13, 2024

In this post, we demonstrate how we innovated to build a Retrieval Augmented Generation (RAG) application with agentic workflow and a knowledge base on Amazon Bedrock. We implemented the RAG pipeline in a Slack chat-based assistant to empower the Amazon Twitch ads sales team to move quickly on new sales opportunities.

Sales 98

Sales Advertising Engineering APIs 98

AWS Machine Learning

MARCH 18, 2025

Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 The produced query should be functional, efficient, and adhere to best practices in SQL query optimization. To learn more, visit Amazon Bedrock Knowledge Bases now supports structured data retrieval.

Enterprise 80

Enterprise Chatbots Engineering Metrics 80

Balto

JANUARY 6, 2025

Knowledge base creation: Create FAQs and support resources to ease the load on your team and handle more customers. Customizable Knowledge Base: Encourage customer self-service by creating and maintaining extensive knowledge bases with guides, tutorials, and FAQs.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. Please read this post to learn how to implement the RAG approach with Amazon Kendra.

APIs 122

APIs Healthcare Scripts Engineering 122

AWS Machine Learning

SEPTEMBER 20, 2024

There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Knowledge management: Amazon Q Business helps organizations use their institutional knowledge more effectively.

Wireless 103

Wireless Enterprise APIs Chatbots 103