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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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Prompt Design and Engineering: Introduction and Advanced Methods
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Prompt Design and Engineering: Introduction and Advanced Methods

#machinelearning #ai #beginners #datascience
2
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4 min read
A Simple and Effective Pruning Approach for Large Language Models
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A Simple and Effective Pruning Approach for Large Language Models

#machinelearning #ai #beginners #datascience
1
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3 min read
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
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Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

#machinelearning #ai #beginners #datascience
1
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3 min read
SAR image matching algorithm based on multi-class features
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SAR image matching algorithm based on multi-class features

#machinelearning #ai #beginners #datascience
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4 min read
Circuit Component Reuse Across Tasks in Transformer Language Models
aimodels-fyi profile

Circuit Component Reuse Across Tasks in Transformer Language Models

#machinelearning #ai #beginners #datascience
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4 min read
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
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R-Tuning: Instructing Large Language Models to Say `I Don't Know'

#machinelearning #ai #beginners #datascience
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4 min read
FLAME: Factuality-Aware Alignment for Large Language Models
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FLAME: Factuality-Aware Alignment for Large Language Models

#machinelearning #ai #beginners #datascience
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4 min read
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
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Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks

#machinelearning #ai #beginners #datascience
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4 min read
Porting HPC Applications to AMD Instinct$^text{TM}$ MI300A Using Unified Memory and OpenMP
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Porting HPC Applications to AMD Instinct$^text{TM}$ MI300A Using Unified Memory and OpenMP

#machinelearning #ai #beginners #datascience
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4 min read
PopulAtion Parameter Averaging (PAPA)
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PopulAtion Parameter Averaging (PAPA)

#machinelearning #ai #beginners #datascience
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3 min read
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
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ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

#machinelearning #ai #beginners #datascience
1
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4 min read
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
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FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes

#machinelearning #ai #beginners #datascience
2
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4 min read
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
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FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding

#machinelearning #ai #beginners #datascience
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4 min read
Network reconstruction via the minimum description length principle
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Network reconstruction via the minimum description length principle

#machinelearning #ai #beginners #datascience
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3 min read
Modern Data Quality at Scale using Digna
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Modern Data Quality at Scale using Digna

#ai #machinelearning #database #data
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6 min read
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