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Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
arxiv.org·1d
📉Model Quantization
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7 Advanced Feature Engineering Tricks Using LLM Embeddings
machinelearningmastery.com·15h
📉Model Quantization
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Learning Better Certified Models from Empirically-Robust Teachers
arxiv.org·1h
📊Gradient Accumulation
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Towards a Definition of Disentangled Representations
dev.to·11h·
Discuss: DEV
🧮cuDNN
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SDPO: Reinforcement Learning via Self-Distillation
self-distillation.github.io·2d·
Discuss: r/LocalLLaMA
ONNX Runtime
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63 Q&As from Watching Karpathy's LLM Tutorial Twice
dev.to·11h·
Discuss: DEV
🤖AI Coding Tools
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**Abstract:** This paper introduces a novel architecture for enhancing the factual accuracy of Large Language Models (LLMs) by employing real-time fact verif...
freederia.com·7h
🔄ONNX
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Writing an LLM from scratch, part 32a -- Interventions: training a baseline model
gilesthomas.com·4h·
Discuss: Hacker News
📊Gradient Accumulation
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CRAM-Net: The Network that Thinks by Rewiring
github.com·10h·
Discuss: DEV
🔗NCCL
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The Core Flaws of Modern AI based on Large Language Models (longpost)
bykozy.me·16h·
Discuss: Hacker News
📊Gradient Accumulation
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Training Design for Text-to-Image Models: Lessons from Ablations
huggingface.co·19h
📊Gradient Accumulation
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Context Engineering & Agent Memory Platform for AI Agents
getzep.com·6h
ONNX Runtime
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Physics 1 – Attention can’t exactly simulate uniform linear motion
kindxiaoming.github.io·17h
👁️Attention Optimization
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Turn Websites Into AI Knowledge
yavy.dev·10h
🤖AI Coding Tools
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What is Overfitting? - Overfitting in Machine Learning Explained
aws.amazon.com·2h·
Discuss: Hacker News
📉Model Quantization
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Stop Torturing Your Data: How to Automate Rigor With AI
hackernoon.com·8h
🤖Automation
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A Guide to the DataLoader Class and Abstractions in PyTorch
digitalocean.com·23h
📜TorchScript
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Training and Tuning models is the new modeling
maxim.usindic.us·1d
📊Gradient Accumulation
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LangChain Academy's LangSmith Essentials Course
i-programmer.info·12h
🤖AI Coding Tools
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Postdoc in Milan on scalability for high-dimensional Bayesian learning
statmodeling.stat.columbia.edu·1d
ONNX Runtime
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