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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Ridge Regression, Regression: Supervised Machine Learning

Ridge Regression, Regression: Supervised Machine Learning

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6 min read
Security in LLMs: Safeguarding AI Systems - V

Security in LLMs: Safeguarding AI Systems - V

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7 min read
Mathematics for Machine Learning - Day 6

Mathematics for Machine Learning - Day 6

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6 min read
Linear Regression, Regression: Supervised Machine Learning

Linear Regression, Regression: Supervised Machine Learning

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16 min read
Mathematics for Machine Learning - Day 5

Mathematics for Machine Learning - Day 5

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6 min read
TensorFlow for Beginners: Your First Neural Network

TensorFlow for Beginners: Your First Neural Network

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2 min read
Delving into ChatGPT usage in academic writing through excess vocabulary

Delving into ChatGPT usage in academic writing through excess vocabulary

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3 min read
Simulacra as Conscious Exotica

Simulacra as Conscious Exotica

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4 min read
Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods

Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods

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4 min read
Mixture of A Million Experts

Mixture of A Million Experts

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3 min read
AI Agents That Matter

AI Agents That Matter

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3 min read
Which algorithm to select in sports timetabling?

Which algorithm to select in sports timetabling?

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4 min read
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

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4 min read
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

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3 min read
Distilling System 2 into System 1

Distilling System 2 into System 1

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4 min read
The Reason behind Good or Bad: Towards a Better Mathematical Verifier with Natural Language Feedback

The Reason behind Good or Bad: Towards a Better Mathematical Verifier with Natural Language Feedback

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4 min read
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections

A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections

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3 min read
LLMs can learn self-restraint through iterative self-reflection

LLMs can learn self-restraint through iterative self-reflection

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5 min read
Vulnerability Detection with Code Language Models: How Far Are We?

Vulnerability Detection with Code Language Models: How Far Are We?

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5 min read
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

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4 min read
Shadows of quantum machine learning

Shadows of quantum machine learning

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4 min read
SmartChoices: Augmenting Software with Learned Implementations

SmartChoices: Augmenting Software with Learned Implementations

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4 min read
Personalized Language Modeling from Personalized Human Feedback

Personalized Language Modeling from Personalized Human Feedback

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4 min read
Volumetric Rendering with Baked Quadrature Fields

Volumetric Rendering with Baked Quadrature Fields

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3 min read
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions

When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions

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4 min read
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