Machine Learning

Machine Learning

When to Go Out and When to Stay In: RAG vs. Fine-tuning

Image by Author | Ideogram   Language models are here to stay. Their practical uses and impact...
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Machine Learning

Boosting Model Performance with Feature Engineering: Step 5 in the Machine Learning Lifecycle | by Mounica Kommajosyula | Oct, 2024

In the journey of building machine learning models, there’s a crucial yet often overlooked step: “Feature Engineering”. It is the art and science...
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Machine Learning

The Quest for Production-Quality Graph RAG: Easy to Start, Hard to Finish | by Brian Godsey | Oct, 2024

When I read the recent article in VentureBeat about how Glean just secured over $260 million in its latest funding round, I had...
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Machine Learning

7 Computer Vision Projects for All Levels

Image by Author   Computer vision is a fascinating field that combines machine learning and image...
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Machine Learning

Supervised Fine-Tuning (SFT): The Secret to Enterprise AI | by Greystack Technologies | Oct, 2024

How supervised fine-tuning drives enterprise adoption of AI by transforming general models into specialized, expert solutions.Supervised fine-tuning (SFT) transforms a general-purpose large language...
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Machine Learning

Demystifying Azure Storage Account Network Access | by René Bremer | Oct, 2024

Service endpoints and private endpoints hands-on: including Azure Backbone, storage account firewall, DNS, VNET and NSGsThis is however counterintuitive, since first a private...
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