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

AWS Machine Learning - AI

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. Other users provided scores and explained how they justify the LLM answers in their notes.

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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

There is friction between globalization and regional autonomy, a conflict between the desire for sustainability and the lure of rapid development, ongoing political uncertainties, and the ever-increasing impact of digital technology. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.

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Data collection isn’t the problem: It’s what companies are doing with it

TechCrunch

Maxim Kharchenko is the director of fintech products at Rakuten Viber and is an expert in product leadership in the financial technology sector. Yet, many businesses cannibalize this valuable asset by selling it to third parties when they should be using it to make their businesses stronger and more sustainable.

Company 340
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A comparative assessment of digital transformation in Italy

CIO

He then moved to the technology procurement part, in accordance with the new Procurement Code on the Consip platform, which allows projects to proceed quickly in accordance with principles of a transparent, sustainable, and digital public administration. From there, the actual digitization project can be implemented. “We

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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO

business, IT, data management, security, risk and compliance etc.) are engaged appropriately in sustained development and management of trusted data and insights. Lucas Lau, Senior Director – Machine Learning & AI Practice Leader at Protiviti, outlined a list of categories to simplify metrics.

Analytics 230
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Leaning into Retail’s Challenges with Digital Transformation

CIO

This is particularly important in the grocery industry where better demand forecasting through AI and machine learning creates less waste, allowing chains to improve their sustainability and make more money. He also talks with senior executives and runs ideation session to unveil new opportunities for digital business models.

Retail 313
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Predictive Analytics with Power BI: A Guide for CEOs for Encouraging Business Success

Sunflower Lab

Use Case: Demand Forecasting for Manufacturing Business Scenario: A manufacturing company needs to predict demand for its products to optimize production and inventory management. Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately.