How to Predict Biomolecular Structures Using the OpenFold3 NIM
developer.nvidia.com·23h
🌲Persistent Data Structures
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.com·1d·
Discuss: Substack
🌪️Chaos Engineering
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Kubernetes Isn’t Your AI Bottleneck — It’s Your Secret Weapon
thenewstack.io·7h
🔵Blue-Green Deployment
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The AI Village Where Top Chatbots Collaborate–and Compete
time.com·6h·
Discuss: Hacker News, r/technews
🐛Fuzzing
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[D] PhD New Grad Role OA
reddit.com·4h·
Discuss: r/MachineLearning
👀Code Reviews
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3 Experiments That Reveal the Shocking Inner Life of AI Introduction: Is Anybody Home?
hackernoon.com·1d
🌪️Chaos Engineering
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Got tired of tracking meals in ChatGPT, built my own calorie tracker instead
github.com·1d·
Discuss: r/selfhosted
💳personal finance
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KTransformers Open Source New Era: Local Fine-tuning of Kimi K2 and DeepSeek V3
reddit.com·11h·
Discuss: r/LocalLLaMA
🔮Branch Prediction
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Multimodal Detection of Fake Reviews using BERT and ResNet-50
arxiv.org·18h
📈ROC Curves
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·18h
🎲Property-Based Testing
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SpecAware: A Spectral-Content Aware Foundation Model for Unifying Multi-Sensor Learning in Hyperspectral Remote Sensing Mapping
arxiv.org·1d
⛓️MCMC
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The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
arxiv.org·18h
🔗Parser Combinators
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Efficient Curvature-aware Graph Network
arxiv.org·18h
📐Gini Coefficient
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.org·18h
🔗Parser Combinators
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Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
arxiv.org·18h
📈ROC Curves
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·1d
🔗Parser Combinators
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The True Cost of AI Integrations: Comparing Performance and Pricing Models for C# Libraries
dev.to·22h·
Discuss: DEV
🐛Fuzzing
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Learning Complementary Policies for Human-AI Teams
arxiv.org·18h
📐Gini Coefficient
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·1d·
Discuss: Hacker News, r/LocalLLaMA
🐤Canary Deployment
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Shape-Shifting AI: Making Models That Adapt to Data
dev.to·2d·
Discuss: DEV
📐Gini Coefficient
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