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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning - AI

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.

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A comparative assessment of digital transformation in Italy

CIO

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” The owners, CEO, and CIO have launched a review of the operating model in which the technology implementations fit.

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Business Intelligence Strategy: How to Develop and Document your BI Roadmap

Altexsoft

Business Intelligence is a practice of turning raw data into useful insights. Probably yes, as it’s the most balanced view of the business you can get. Now, let’s talk about your Business Intelligence strategy. establishing Business Intelligence Competency Center that will govern BI software and architecture).

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Fuel Management System: On the Road to Fuel Economy

Altexsoft

What is fuel management system and fuel economy. A fuel management system is a subdivision of a fleet management system that uses telematics -based tools and analytical software to capture fuel consumption data and improve fuel economy. A fuel management system uses data from different sources to create comprehensive analytics.

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Top 7 Challenges of Moving Data Analytics to the Cloud

Datavail

The way your data and analytics systems are currently functioning will probably not provide the level of flexibility and agility that your customers will want when they have access to those systems in the cloud. You’ll need to plan ways to make those systems more flexible to meet your organization’s requirements over time.

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DataRobot has Partnered with Labelbox to Bring Best-In-Class Unstructured Data Labeling Capabilities to our AI Cloud Platform

DataRobot

Labelbox’s technology reduces the time required to label complex datasets by 5-10 times, allowing a small team to no longer need to iterate for months to deliver accurate training data for high model performance. Labelbox is primarily designed to help AI teams build and operate production-grade machine learning systems.

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Top 5 AI Implementation Challenges and How to Overcome Them

Exadel

85% of them use AI incorrectly Additionally, your moonshot initiative might not yield the expected results due to unclear objectives and flawed project management practices, including bias, which can hinder AI algorithms producing accurate results in 85% of the cases. Request an AI proof of concept consultation!