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Machine Learning

Small Models Are Getting Easy. Serving Them Still Isn't

submitted by /u/armynante [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’ | The Verge
Ai Infrastructure

Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’ | The Verge

The first four members of Trump’s tech advisory panel include tech CEOs Mark Zuckerberg, Jensen Huang, and Larry Ellison, along with Goog...

The Verge - AI · 4 min ·
[2503.10144] Multiplicative learning from observation-prediction ratios
Ai Infrastructure

[2503.10144] Multiplicative learning from observation-prediction ratios

Abstract page for arXiv paper 2503.10144: Multiplicative learning from observation-prediction ratios

arXiv - AI · 3 min ·
[2507.19116] Graph Structure Learning with Privacy Guarantees for Open Graph Data
Machine Learning

[2507.19116] Graph Structure Learning with Privacy Guarantees for Open Graph Data

Abstract page for arXiv paper 2507.19116: Graph Structure Learning with Privacy Guarantees for Open Graph Data

arXiv - AI · 4 min ·
Llms

Claude's system prompt + XML tags is the most underused power combo right now

Most people just type into ChatGPT like it's Google. Claude with a structured system prompt using XML tags behaves like a completely diff...

Reddit - Artificial Intelligence · 1 min ·
[2505.18323] Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation
Machine Learning

[2505.18323] Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation

Abstract page for arXiv paper 2505.18323: Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation

arXiv - Machine Learning · 4 min ·
Machine Learning

[D] On conferences and page limitations

What is your opinion on long appendices in conference papers? I am observing that appendix lengths in conference papers (ICML, NeurIPS, e...

Reddit - Machine Learning · 1 min ·
[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Machine Learning

[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

Abstract page for arXiv paper 2603.24618: Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

arXiv - Machine Learning · 3 min ·
[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies
Machine Learning

[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies

Abstract page for arXiv paper 2603.25397: A Causal Framework for Evaluating ICU Discharge Strategies

arXiv - Machine Learning · 3 min ·
[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models
Llms

[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models

Abstract page for arXiv paper 2506.13734: Instruction Following by Principled Boosting Attention of Large Language Models

arXiv - Machine Learning · 4 min ·
Llms

I used an app to analyze 3 years of my Claude conversations. It identified a behavioral pattern I'd never named.

Exported everything. Normalized it. Ran cross-source analysis against my journal entries, calendar, and sleep data. The output I couldn't...

Reddit - Artificial Intelligence · 1 min ·
Arm’s first CPU ever will plug into Meta’s AI datacenters later this year | The Verge
Machine Learning

Arm’s first CPU ever will plug into Meta’s AI datacenters later this year | The Verge

Arm is launching its first in-house chip, the AGI CPU, which will be used by Meta in its AI datacenters later this year.

The Verge - AI · 5 min ·
[2603.20223] Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
Machine Learning

[2603.20223] Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models

Abstract page for arXiv paper 2603.20223: Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and...

arXiv - Machine Learning · 4 min ·
[2603.21508] Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences
Machine Learning

[2603.21508] Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences

Abstract page for arXiv paper 2603.21508: Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences

arXiv - Machine Learning · 4 min ·
[2603.22376] AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
Llms

[2603.22376] AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access

Abstract page for arXiv paper 2603.22376: AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Age...

arXiv - AI · 4 min ·

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