Trending Machine Learning

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Llms

I built a local AI companion with GWT, IIT proxy, ChromaDB hybrid retrieval, and Ollama fallback — here's every architectural decision I made and why

Been building this for a while. Sharing now because it's past the point where I'm embarrassed by the code. **The stack:** * Python 3.12, ...

Reddit - Artificial Intelligence · 1 min ·
[2605.05209] Are Flat Minima an Illusion?
Machine Learning

[2605.05209] Are Flat Minima an Illusion?

Abstract page for arXiv paper 2605.05209: Are Flat Minima an Illusion?

arXiv - AI · 4 min ·
[2605.05213] Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models
Machine Learning

[2605.05213] Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models

Abstract page for arXiv paper 2605.05213: Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models

arXiv - Machine Learning · 4 min ·
[2605.05216] SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees
Llms

[2605.05216] SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees

Abstract page for arXiv paper 2605.05216: SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monoton...

arXiv - Machine Learning · 4 min ·
[2605.05217] Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
Machine Learning

[2605.05217] Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

Abstract page for arXiv paper 2605.05217: Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

arXiv - AI · 3 min ·
[2605.05218] Horizon-Constrained Rashomon Sets for Chaotic Forecasting
Machine Learning

[2605.05218] Horizon-Constrained Rashomon Sets for Chaotic Forecasting

Abstract page for arXiv paper 2605.05218: Horizon-Constrained Rashomon Sets for Chaotic Forecasting

arXiv - AI · 4 min ·
[2605.05219] Sparse Prefix Caching for Hybrid and Recurrent LLM Serving
Llms

[2605.05219] Sparse Prefix Caching for Hybrid and Recurrent LLM Serving

Abstract page for arXiv paper 2605.05219: Sparse Prefix Caching for Hybrid and Recurrent LLM Serving

arXiv - AI · 4 min ·
[2605.05220] MidSteer: Optimal Affine Framework for Steering Generative Models
Machine Learning

[2605.05220] MidSteer: Optimal Affine Framework for Steering Generative Models

Abstract page for arXiv paper 2605.05220: MidSteer: Optimal Affine Framework for Steering Generative Models

arXiv - AI · 3 min ·
[2605.05221] Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
Machine Learning

[2605.05221] Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery

Abstract page for arXiv paper 2605.05221: Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adapt...

arXiv - Machine Learning · 4 min ·
[2605.05222] Adaptive Computation Depth via Learned Token Routing in Transformers
Machine Learning

[2605.05222] Adaptive Computation Depth via Learned Token Routing in Transformers

Abstract page for arXiv paper 2605.05222: Adaptive Computation Depth via Learned Token Routing in Transformers

arXiv - AI · 3 min ·
[2605.05223] Structural Instability of Feature Composition
Machine Learning

[2605.05223] Structural Instability of Feature Composition

Abstract page for arXiv paper 2605.05223: Structural Instability of Feature Composition

arXiv - AI · 3 min ·
[2605.05224] Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms
Machine Learning

[2605.05224] Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms

Abstract page for arXiv paper 2605.05224: Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms

arXiv - AI · 4 min ·
[2605.05225] MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference
Llms

[2605.05225] MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference

Abstract page for arXiv paper 2605.05225: MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference

arXiv - Machine Learning · 3 min ·
[2605.05227] Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
Llms

[2605.05227] Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods

Abstract page for arXiv paper 2605.05227: Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than ...

arXiv - AI · 4 min ·
Machine Learning

Getting harassed by an aggressive “independent researcher” demanding very specific citations and phrasing in my paper [D]

Hey Reddit, I’m a researcher in a niche theoretical CS/ML area. Recently I’ve been dealing with repeated emails from an “independent rese...

Reddit - Machine Learning · 1 min ·

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