Remove Generative AI Remove Knowledge Base Remove Weak Development Team
article thumbnail

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

These challenges make it difficult for organizations to maintain consistent quality standards across their AI applications, particularly for generative AI outputs. Now that weve explained the key features, we examine how these capabilities come together in a practical implementation.

article thumbnail

Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. 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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

article thumbnail

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

article thumbnail

Marsh McLennan IT reorg lays foundation for gen AI

CIO

Compounding this risk is a new and poorly understood factor: the potential for AI to amplify political misinformation and disinformation. The US government has already accused the governments of China, Russia, and Iran of attempting to weaponize AI for those purposes.”

article thumbnail

Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices.

article thumbnail

5 tips for better business value from gen AI

CIO

times greater productivity improvements than their peers, Accenture notes, which should motivate CIOs to continue investing in AI strategies. Many early gen AI wins have centered around productivity improvements. For example, inside sales reps using AI to increase call volume and target ideal prospects can improve deal close rates.