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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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Self-playing Adversarial Language Game Enhances LLM Reasoning

Self-playing Adversarial Language Game Enhances LLM Reasoning

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4 min read
Evaluation of the Programming Skills of Large Language Models

Evaluation of the Programming Skills of Large Language Models

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3 min read
Can a Transformer Represent a Kalman Filter?

Can a Transformer Represent a Kalman Filter?

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4 min read
Pareto Optimal Learning for Estimating Large Language Model Errors

Pareto Optimal Learning for Estimating Large Language Model Errors

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4 min read
Thermodynamic Natural Gradient Descent

Thermodynamic Natural Gradient Descent

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5 min read
YOLOv10: Real-Time End-to-End Object Detection

YOLOv10: Real-Time End-to-End Object Detection

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3 min read
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

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5 min read
Attention as an RNN

Attention as an RNN

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4 min read
AI-Assisted Assessment of Coding Practices in Modern Code Review

AI-Assisted Assessment of Coding Practices in Modern Code Review

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4 min read
Training Language Models to Generate Text with Citations via Fine-grained Rewards

Training Language Models to Generate Text with Citations via Fine-grained Rewards

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3 min read
ExcelFormer: Can a DNN be a Sure Bet for Tabular Prediction?

ExcelFormer: Can a DNN be a Sure Bet for Tabular Prediction?

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3 min read
The CAP Principle for LLM Serving

The CAP Principle for LLM Serving

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4 min read
Representation noising effectively prevents harmful fine-tuning on LLMs

Representation noising effectively prevents harmful fine-tuning on LLMs

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5 min read
Levels of AGI for Operationalizing Progress on the Path to AGI

Levels of AGI for Operationalizing Progress on the Path to AGI

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4 min read
TimeGPT-1

TimeGPT-1

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4 min read
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