Remove Knowledge Base Remove Metrics Remove Weak Development Team
article thumbnail

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

article thumbnail

5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. These reinvention-ready organizations have 2.5 times higher revenue growth and 2.4

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

7 ways gen AI can create more work than it saves

CIO

But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale. Managers tend to incentivize activity metrics and measure inputs versus outputs,” she adds. With our attention split too much, people might start making bad decisions, she adds. “It

article thumbnail

Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business. Tracking metrics such as time saved and number of queries resolved can provide tangible evidence of the services impact on overall workplace productivity.

article thumbnail

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

AWS Machine Learning - AI

To address these challenges, we introduce Amazon Bedrock IDE , an integrated environment for developing and customizing generative AI applications. Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources.

article thumbnail

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

AWS Machine Learning - AI

Red teaming , an adversarial exploit simulation of a system used to identify vulnerabilities that might be exploited by a bad actor, is a crucial component of this effort. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices. What is red teaming?

article thumbnail

How ServiceNow gets the most out of generative AI

CIO

The September addition of Now Assist to the platform’s core could be bad news for the third-party software developers that had built AI-powered automations for ServiceNow’s ticketing system — although, says Bedi, “Their traction was pretty limited anyway.” It’s not like we need less software engineers.