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Cracking the Density Code: Why MAF Flows Where KDE Stalls

Cracking the Density Code: Why MAF Flows Where KDE Stalls
One of the main problems that arises in high-dimensional density estimation is that as our dimension increases, our data becomes ...
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How to Perform Comprehensive Large Scale LLM Validation

How to Perform Comprehensive Large Scale LLM Validation
and evaluations are critical to ensuring robust, high-performing LLM applications. However, such topics are often overlooked in the greater scheme ...
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Do Large Language Models Dream of AI Agents?

Do Large Language Models Dream of AI Agents?
During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if ...
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Can LangExtract Turn Messy Clinical Notes into Structured Data?

Can LangExtract Turn Messy Clinical Notes into Structured Data?
LangExtract is a from developers at Google that makes it easy to turn messy, unstructured text into clean, structured data ...
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Modular Arithmetic in Data Science

Modular Arithmetic in Data Science
is a mathematical system where numbers cycle after reaching a value called the modulus. The system is often referred to ...
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“My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“

“My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science ...
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How to Use LLMs for Powerful Automatic Evaluations

How to Use LLMs for Powerful Automatic Evaluations
discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a variety ...
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GPT-5 Doesn’t Dislike You—It Might Just Need a Benchmark for Emotional Intelligence

GPT-5 Doesn’t Dislike You—It Might Just Need a Benchmark for Emotional Intelligence
Since the all-new ChatGPT launched on Thursday, some users have mourned the disappearance of a peppy and encouraging personality in ...
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Coconut: A Framework for Latent Reasoning in LLMs

Coconut: A Framework for Latent Reasoning in LLMs
Paper link: https://arxiv.org/abs/2412.06769 Released: 9th of December 2024 Figure 1. The two reasoning modes of Coconut. In Language Mode (left), ...
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Estimating from No Data: Deriving a Continuous Score from Categories

Estimating from No Data: Deriving a Continuous Score from Categories
has collected data on the outcomes of patients who have acquired “Pathogen A” responsible for an infectious respiratory illness. Available ...
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