Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·8h·
Discuss: DEV
📊Gradient Accumulation
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
paperium.net·4h·
Discuss: DEV
🧩Attention Kernels
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Physics informed machine learning based predictive control for intelligent operation of edge datacenters
sciencedirect.com·18h
ONNX Runtime
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·2d
🔄ONNX
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A Beginner’s Guide to Getting Started with add_messages Reducer in LangGraph
langcasts.com·2d·
Discuss: DEV
🤖AI Coding Tools
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Weak-To-Strong Generalization
lesswrong.com·12h
📉Model Quantization
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Yes, you should understand backprop (2016)
karpathy.medium.com·10h·
Discuss: Hacker News
📊Gradient Accumulation
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
dev.to·13h·
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👁️Attention Optimization
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From Data to Rewards: a Bilevel Optimization Perspective on Maximum LikelihoodEstimation
dev.to·1d·
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📊Gradient Accumulation
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·9h·
Discuss: Hacker News
📊Gradient Accumulation
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Quantum-Resistant Federated Learning with Homomorphic Encryption for Medical Imaging Diagnostics
dev.to·6h·
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📉Model Quantization
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When Five Dumb AIs Beat One Smart AI: The Case for Multi-Agent Systems
ksramalakshmi.medium.com·4h·
Discuss: r/LocalLLaMA
🔄ONNX
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The Machine Learning Projects Employers Want to See
towardsdatascience.com·2d
🚀MLOps
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·8h·
Discuss: Hacker News
📉Model Quantization
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
paperium.net·13h·
Discuss: DEV
🏎️TensorRT
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[R] TempoPFN: Synthetic Pretraining of Linear RNNs for Zero-Shot Timeseries Forecasting
reddit.com·5h·
ONNX Runtime
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Automatic network structure discovery of physics informed neural networks via knowledge distillation
nature.com·4d
ONNX Runtime
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Automated Anomaly Detection & Root Cause Analysis in Complex System Simulations via Adaptive Bayesian Networks
dev.to·18h·
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ONNX Runtime
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·16h·
Discuss: Substack
🧩Attention Kernels
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