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Generative AI Pushed Us to the AI Tipping Point

Unite.AI

Before artificial intelligence (AI) was launched into mainstream popularity due to the accessibility of Generative AI (GenAI), data integration and staging related to Machine Learning was one of the trendier business priorities. We are now at the AI tipping point, but how did we get here and why did GenAI push us to widespread adoption?

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Data Science in Healthcare: Advantages and Applications?—?NIX United

Mlearning.ai

Data Science in Healthcare: Advantages and Applications — NIX United The healthcare industry is one of the most complicated sectors to manage and optimize. While many industries are mainly focused on generating profit, medicine needs the patient at the center. Unfortunately, reality is not as simple.

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6 ways the recruitment process is boosted by AI

IBM Journey to AI blog

And as important as talent acquisition is for any organization, it involves a lot of it: sifting through resumes, posting job descriptions, onboarding new employees. These tasks aren’t all tedium, and in fact, they often require human-level discernment. But there are many ways where this seemingly simple process can break down.

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Julius AI Review: Can AI Visualize Complex Data in Seconds?

Unite.AI

These decisions are critical for the success and growth of any organization. It functions like a chatbot similar to ChatGPT , making the process familiar and easy to get the hang of. From there, I'll share how I used Julius to analyze complex data and turn it into an insightful boxplot. That's where Julius AI comes in!

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New Study: 2018 State of Embedded Analytics Report

Read the 6th annual State of Embedded Analytics Report to discover new best practices. Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Brought to you by Logi Analytics.

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How we could stumble into AI catastrophe

Cold Takes

This post will lay out a couple of stylized stories about how, if transformative AI is developed relatively soon, this could result in global catastrophe. (By So we end up with a world run by misaligned AI - or, even if we’re lucky enough to avoid that outcome, other catastrophes are possible.

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Implementing Small Language Models (SLMs) with RAG on Embedded Devices Leading to Cost Reduction, Data Privacy, and Offline Use

deepsense.ai

For research groups, SLMs facilitate speeding up R&D progress, swiftly testing new ideas, benchmarking at scale, and iterating relatively fast. At deepsense.ai, we don’t merely follow trends; we aspire to establish new solutions. Inherently, Small Language Models (SLMs) are smaller counterparts of Large Language Models.