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 110

APIs Government Best practices Metrics 110

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 112

Best practices Feedback Metrics APIs 112

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 115

APIs Scripts Best practices Management 115

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. This capability supports various use cases such as IT, HR, and help desk.

APIs 97

APIs Enterprise Accountability Government 97

AWS Machine Learning

APRIL 3, 2025

Business use cases The account plans draft assistant serves four primary use cases: Account plan draft generation: Using Amazon Bedrock, weve made internal and external data sources available to generate draft content for key sections of the APs. Lets explore how we built this AI assistant and some of our future plans.

Accountability 110

Accountability Sales CRM APIs 110

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 113

APIs Best practices Management Personalization 113

AWS Machine Learning

MARCH 25, 2024

Some customers entrust Amazon Transcribe with data that is confidential and proprietary to their business. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. For more information about data privacy, see the Data Privacy FAQ.

Best practices 116

Best practices APIs Transportation Personalization 116

AWS Machine Learning

DECEMBER 2, 2024

We cover the key scenarios where scaling to zero is beneficial, provide best practices for optimizing scale-up time, and walk through the step-by-step process of implementing this functionality. We also discuss best practices for implementation and strategies to mitigate potential drawbacks.

APIs 107

APIs Best practices Metrics Engineering 107

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 129

APIs Banking Best practices Engineering 129

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 114

Management APIs Engineering Metrics 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 133

APIs Engineering CRM Enterprise 133

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 130

APIs Transportation Best practices Enterprise 130

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

APRIL 10, 2025

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. Optimized for cost-effective performance, they are trained on data in over 200 languages.

APIs 123

APIs Metrics Best practices Construction 123

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 103

Metrics Engineering Benchmark APIs 103

Cincom

FEBRUARY 14, 2025

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow.

Best practices 40

Best practices Sales CRM Finance 40

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 118

Best practices Enterprise Engineering Strategic Value 118

AWS Machine Learning

APRIL 24, 2025

Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora , Oracle, and Teradata), with each managing hundreds or perhaps thousands of tables to represent and persist business data.

Enterprise 108

Enterprise Construction Scripts APIs 108

AWS Machine Learning

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. We’ll cover Amazon Bedrock Agents , capable of running complex tasks using your company’s systems and data.

APIs 106

APIs Enterprise Best practices Government 106

AWS Machine Learning

MARCH 14, 2024

However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs.

Best practices 134

Best practices Engineering Chatbots Enterprise 134

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 104

Government Management APIs Accountability 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. Specifically, GraphStorm 0.3

APIs 117

APIs Benchmark Construction Enterprise 117

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 102

Enterprise Engineering APIs Best practices 102

AWS Machine Learning

MARCH 6, 2023

The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges. In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices 105

Best practices APIs Transportation Scripts 105

AWS Machine Learning

SEPTEMBER 7, 2023

SageMaker Pipelines offers ML application developers the ability to orchestrate different steps of the ML workflow, including data loading, data transformation, training, tuning, and deployment. In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless.

Best practices 124

Best practices Scripts Construction APIs 124

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

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. Ground your data in real customer interactions that reflect actual use cases but be sure to de-identify and anonymize the data.

Best practices 98

Best practices APIs Metrics Accountability 98

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. A well-curated dataset forms the foundation for successful fine-tuning.

Best practices 96

Best practices APIs Finance Metrics 96

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

JANUARY 27, 2025

Solution overview To get started with Nova Canvas and Nova Reel, you can either use the Image/Video Playground on the Amazon Bedrock console or access the models through APIs. When writing a video generation prompt for Nova Reel, be mindful of the following requirements and best practices: Prompts must be no longer than 512 characters.

Engineering 110

Engineering Best practices Entertainment APIs 110

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 132

APIs Best practices Advertising Accountability 132

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 130

Chatbots APIs Engineering Automotive 130

AWS Machine Learning

JANUARY 10, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

Best practices 100

Best practices Scripts APIs Metrics 100

AWS Machine Learning

SEPTEMBER 9, 2024

Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise.

APIs 120

APIs Engineering Telecommunications Enterprise 120

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

NOVEMBER 21, 2024

This setup enables the model to learn from human-labeled data, refining its ability to produce content that aligns with natural human expectations. Importance of high-quality data and reducing labeling errors High-quality data is essential for training generative AI models that can produce natural, human-like audio and video content.

APIs 102

APIs Feedback Telecommunications Management 102

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 104

Enterprise Engineering APIs Accountability 104