Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·2d·
Discuss: DEV
📊Embeddings
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·14h
📊Embeddings
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·1d·
Discuss: r/cpp
📊Embeddings
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·2h·
Discuss: Hacker News
Consistent Hashing
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How AI is helping us monitor and support vulnerable ecosystems
phys.org·5h
💬Natural Language Processing
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·14h
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·1d
💬Natural Language Processing
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5 Fun Data Science Projects for Absolute Beginners
kdnuggets.com·1d
💬Natural Language Processing
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Post-training methods for language models
developers.redhat.com·12h
💬Natural Language Processing
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·14h
📊Embeddings
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·9h·
Discuss: Hacker News
💬Natural Language Processing
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A generative AI teaching assistant for personalized learning in medical education
nature.com·19h
💬Natural Language Processing
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🎯Bitboards
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·1d·
Discuss: r/LLM
💬Natural Language Processing
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.to·1d·
Discuss: DEV
📊Embeddings
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·52m·
Discuss: DEV
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