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Machine Learning

[P] Run Karpathy's Autoresearch for $0.44 instead of $24 — Open-source parallel evolution pipeline on SageMaker Spot

TL;DR: I built an open-source pipeline that runs Karpathy's autoresearch on SageMaker Spot instances — 25 autonomous ML experiments for $...

Reddit - Machine Learning · 1 min ·
Nvidia’s Jensen Huang says ‘We’ve achieved AGI.’ But no one can agree on what AGI means.
Ai Infrastructure

Nvidia’s Jensen Huang says ‘We’ve achieved AGI.’ But no one can agree on what AGI means.

Why the most important term in tech remains hotly debated.

AI News - General · 18 min ·
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[P] I trained a language model from scratch for a low resource language and got it running fully on-device on Android (no GPU, demo)

Hi Everybody! I just wanted to share an update on a project I’ve been working on called BULaMU, a family of language models trained (20M,...

Reddit - Machine Learning · 1 min ·

All Content

Tech stocks today: Nvidia CEO Jensen Huang suggests end of OpenAI investments, Apple unveils MacBook Neo
Ai Infrastructure

Tech stocks today: Nvidia CEO Jensen Huang suggests end of OpenAI investments, Apple unveils MacBook Neo

All eyes are on Nvidia's fourth quarter results, due after the closing bell on Wednesday, as AI concerns continue to grip markets.

AI News - General · 22 min ·
Ai Infrastructure

Nvidia’s Jensen Huang Rules Out $100 Billion OpenAI Investment

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

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Remote AI/ML Training Roles – Collaboration Opportunity (Up to $1K/Week)- USA only

Hi everyone 👋 If you’re interested in ML-adjacent remote work, there are currently AI training and evaluation roles open. These roles inv...

Reddit - ML Jobs · 1 min ·
Open-source AI tool beats giant LLMs in literature reviews — and gets citations right
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Open-source AI tool beats giant LLMs in literature reviews — and gets citations right

A new open-source AI model outperforms major large language models in literature reviews, achieving citation accuracy comparable to human...

AI News - General · 4 min ·
[2510.14894] Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
Machine Learning

[2510.14894] Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning

Abstract page for arXiv paper 2510.14894: Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning

arXiv - Machine Learning · 4 min ·
[2510.08946] Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
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[2510.08946] Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection

Abstract page for arXiv paper 2510.08946: Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection

arXiv - Machine Learning · 4 min ·
[2510.03215] Cache-to-Cache: Direct Semantic Communication Between Large Language Models
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[2510.03215] Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Abstract page for arXiv paper 2510.03215: Cache-to-Cache: Direct Semantic Communication Between Large Language Models

arXiv - Machine Learning · 4 min ·
[2506.08862] StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams
Ai Infrastructure

[2506.08862] StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams

Abstract page for arXiv paper 2506.08862: StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams

arXiv - Machine Learning · 4 min ·
[2505.05619] LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
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[2505.05619] LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities

Abstract page for arXiv paper 2505.05619: LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Languag...

arXiv - Machine Learning · 4 min ·
[2404.02138] Topic-Based Watermarks for Large Language Models
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[2404.02138] Topic-Based Watermarks for Large Language Models

Abstract page for arXiv paper 2404.02138: Topic-Based Watermarks for Large Language Models

arXiv - Machine Learning · 4 min ·
[2602.06823] AI-Generated Music Detection in Broadcast Monitoring
Ai Infrastructure

[2602.06823] AI-Generated Music Detection in Broadcast Monitoring

Abstract page for arXiv paper 2602.06823: AI-Generated Music Detection in Broadcast Monitoring

arXiv - AI · 4 min ·
[2210.09709] Importance Weighting Correction of Regularized Least-Squares for Target Shift
Machine Learning

[2210.09709] Importance Weighting Correction of Regularized Least-Squares for Target Shift

Abstract page for arXiv paper 2210.09709: Importance Weighting Correction of Regularized Least-Squares for Target Shift

arXiv - Machine Learning · 4 min ·
[2511.12832] From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation
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[2511.12832] From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation

Abstract page for arXiv paper 2511.12832: From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation

arXiv - AI · 3 min ·
[2510.14686] xLLM Technical Report
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[2510.14686] xLLM Technical Report

Abstract page for arXiv paper 2510.14686: xLLM Technical Report

arXiv - AI · 4 min ·
[2510.14086] Every Language Model Has a Forgery-Resistant Signature
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[2510.14086] Every Language Model Has a Forgery-Resistant Signature

Abstract page for arXiv paper 2510.14086: Every Language Model Has a Forgery-Resistant Signature

arXiv - AI · 4 min ·
[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
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[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

Abstract page for arXiv paper 2510.06084: Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

arXiv - AI · 4 min ·
[2602.00130] On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks
Machine Learning

[2602.00130] On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks

Abstract page for arXiv paper 2602.00130: On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks

arXiv - Machine Learning · 3 min ·
[2509.21091] Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute
Llms

[2509.21091] Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute

Abstract page for arXiv paper 2509.21091: Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute

arXiv - AI · 3 min ·
[2509.12610] ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
Llms

[2509.12610] ScaleDoc: Scaling LLM-based Predicates over Large Document Collections

Abstract page for arXiv paper 2509.12610: ScaleDoc: Scaling LLM-based Predicates over Large Document Collections

arXiv - Machine Learning · 4 min ·
[2509.11663] ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering
Ai Infrastructure

[2509.11663] ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering

Abstract page for arXiv paper 2509.11663: ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering

arXiv - AI · 4 min ·
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