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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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Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
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Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

#machinelearning #ai #beginners #datascience
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4 min read
MoEUT: Mixture-of-Experts Universal Transformers
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MoEUT: Mixture-of-Experts Universal Transformers

#machinelearning #ai #beginners #datascience
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3 min read
NPGA: Neural Parametric Gaussian Avatars
aimodels-fyi profile

NPGA: Neural Parametric Gaussian Avatars

#machinelearning #ai #beginners #datascience
2
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3 min read
Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations
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Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations

#machinelearning #ai #beginners #datascience
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4 min read
An Introduction to Vision-Language Modeling
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An Introduction to Vision-Language Modeling

#machinelearning #ai #beginners #datascience
1
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4 min read
Relightable Gaussian Codec Avatars
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Relightable Gaussian Codec Avatars

#machinelearning #ai #beginners #datascience
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4 min read
Contextual Position Encoding: Learning to Count What's Important
aimodels-fyi profile

Contextual Position Encoding: Learning to Count What's Important

#machinelearning #ai #beginners #datascience
1
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4 min read
Is Complexity an Illusion?
aimodels-fyi profile

Is Complexity an Illusion?

#machinelearning #ai #beginners #datascience
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2 min read
Kotlin ML Pack: Technical Report
aimodels-fyi profile

Kotlin ML Pack: Technical Report

#machinelearning #ai #beginners #datascience
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5 min read
The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds
aimodels-fyi profile

The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds

#machinelearning #ai #beginners #datascience
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4 min read
AnyLoss: Transforming Classification Metrics into Loss Functions
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AnyLoss: Transforming Classification Metrics into Loss Functions

#machinelearning #ai #beginners #datascience
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4 min read
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
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NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

#machinelearning #ai #beginners #datascience
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3 min read
Recapping the AI, Machine Learning and Data Science Meetup - May 30, 2024
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Recapping the AI, Machine Learning and Data Science Meetup - May 30, 2024

#computervision #machinelearning #datascience #ai
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6 min read
Neural Network Parameter Diffusion
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Neural Network Parameter Diffusion

#machinelearning #ai #beginners #datascience
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4 min read
Towards Lightweight Super-Resolution with Dual Regression Learning
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Towards Lightweight Super-Resolution with Dual Regression Learning

#machinelearning #ai #beginners #datascience
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3 min read
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