Machine Learning

ML algorithms, training, and inference

This Week's Best | Monthly Best | Guide | Trending

Top This Week

Machine Learning

Google signs deal with Pentagon, allowing 'any lawful' use of AI models

https://preview.redd.it/hbbp7hn1cxxg1.png?width=811&format=png&auto=webp&s=a633fe43837bf60e014afaa4c6cf3fe72a4976d3 I feel li...

Reddit - Artificial Intelligence · 1 min ·
Llms

Karpathy dropped a 200-line GPT, so I used the math to turn pandas DataFrames into searchable context windows and open sourced it (and automated my stats pipeline). [P]

TL;DR: I got tired of manually running Shapiro-Wilk tests and copy-pasting p-values at 2 AM. I built an open-source, async Python pipelin...

Reddit - Machine Learning · 1 min ·
Google and Pentagon reportedly agree deal for ‘any lawful’ use of AI | The Verge
Machine Learning

Google and Pentagon reportedly agree deal for ‘any lawful’ use of AI | The Verge

Google has signed a classified deal that allows the US Department of Defense to use its AI models for “any lawful government purpose.”

The Verge - AI · 4 min ·

All Content

[2604.03263] LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
Llms

[2604.03263] LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling

Abstract page for arXiv paper 2604.03263: LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling

arXiv - AI · 3 min ·
[2604.03260] Why Attend to Everything? Focus is the Key
Machine Learning

[2604.03260] Why Attend to Everything? Focus is the Key

Abstract page for arXiv paper 2604.03260: Why Attend to Everything? Focus is the Key

arXiv - AI · 4 min ·
[2604.03258] SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
Llms

[2604.03258] SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression

Abstract page for arXiv paper 2604.03258: SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model C...

arXiv - AI · 4 min ·
[2604.03257] Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation
Llms

[2604.03257] Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation

Abstract page for arXiv paper 2604.03257: Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation

arXiv - AI · 3 min ·
[2604.03254] Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
Machine Learning

[2604.03254] Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act

Abstract page for arXiv paper 2604.03254: Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the ...

arXiv - AI · 4 min ·
[2604.03249] BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models
Machine Learning

[2604.03249] BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

Abstract page for arXiv paper 2604.03249: BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

arXiv - AI · 3 min ·
[2604.03247] Classifying Problem and Solution Framing in Congressional Social Media
Machine Learning

[2604.03247] Classifying Problem and Solution Framing in Congressional Social Media

Abstract page for arXiv paper 2604.03247: Classifying Problem and Solution Framing in Congressional Social Media

arXiv - AI · 4 min ·
[2604.03246] Personalized AI Practice Replicates Learning Rate Regularity at Scale
Machine Learning

[2604.03246] Personalized AI Practice Replicates Learning Rate Regularity at Scale

Abstract page for arXiv paper 2604.03246: Personalized AI Practice Replicates Learning Rate Regularity at Scale

arXiv - AI · 3 min ·
[2604.03245] FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verification
Llms

[2604.03245] FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verification

Abstract page for arXiv paper 2604.03245: FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verifica...

arXiv - AI · 4 min ·
[2604.03237] The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance
Llms

[2604.03237] The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance

Abstract page for arXiv paper 2604.03237: The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance

arXiv - AI · 4 min ·
[2311.12882] LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
Llms

[2311.12882] LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties

Abstract page for arXiv paper 2311.12882: LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medic...

arXiv - AI · 3 min ·
[2604.04878] Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices
Machine Learning

[2604.04878] Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

Abstract page for arXiv paper 2604.04878: Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

arXiv - AI · 3 min ·
[2604.04876] Incompleteness of AI Safety Verification via Kolmogorov Complexity
Machine Learning

[2604.04876] Incompleteness of AI Safety Verification via Kolmogorov Complexity

Abstract page for arXiv paper 2604.04876: Incompleteness of AI Safety Verification via Kolmogorov Complexity

arXiv - AI · 3 min ·
[2604.04853] MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
Llms

[2604.04853] MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

Abstract page for arXiv paper 2604.04853: MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

arXiv - AI · 4 min ·
[2604.04749] AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments
Llms

[2604.04749] AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments

Abstract page for arXiv paper 2604.04749: AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust...

arXiv - AI · 4 min ·
[2604.04651] Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents
Llms

[2604.04651] Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents

Abstract page for arXiv paper 2604.04651: Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents

arXiv - AI · 3 min ·
[2604.04637] Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents
Machine Learning

[2604.04637] Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents

Abstract page for arXiv paper 2604.04637: Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents

arXiv - AI · 3 min ·
[2604.04528] Receding-Horizon Control via Drifting Models
Machine Learning

[2604.04528] Receding-Horizon Control via Drifting Models

Abstract page for arXiv paper 2604.04528: Receding-Horizon Control via Drifting Models

arXiv - AI · 3 min ·
[2604.04482] Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models
Llms

[2604.04482] Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

Abstract page for arXiv paper 2604.04482: Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language M...

arXiv - AI · 3 min ·
[2604.04468] What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents
Llms

[2604.04468] What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents

Abstract page for arXiv paper 2604.04468: What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents

arXiv - AI · 3 min ·
Previous Page 261 Next

Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime