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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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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
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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5 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
SmartChoices: Augmenting Software with Learned Implementations

SmartChoices: Augmenting Software with Learned Implementations

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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
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

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4 min read
Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

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3 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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5 min read
Which algorithm to select in sports timetabling?

Which algorithm to select in sports timetabling?

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4 min read
Mooncake: Kimi's KVCache-centric Architecture for LLM Serving

Mooncake: Kimi's KVCache-centric Architecture for LLM Serving

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4 min read
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

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4 min read
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

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4 min read
PaliGemma: A versatile 3B VLM for transfer

PaliGemma: A versatile 3B VLM for transfer

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4 min read
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