Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ŠEmbeddings
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.orgยท20h
๐Ÿ“ŠEmbeddings
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.comยท1dยท
Discuss: r/cpp
๐Ÿ“ŠEmbeddings
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.comยท4hยท
Discuss: Hacker News
๐Ÿ“ŠEmbeddings
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.aiยท8hยท
Discuss: Hacker News
โญ•Consistent Hashing
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How AI is helping us monitor and support vulnerable ecosystems
phys.orgยท11h
๐Ÿ’ฌNatural Language Processing
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.orgยท20h
๐Ÿ“ŠEmbeddings
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.comยท1d
๐Ÿ’ฌNatural Language Processing
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5 Fun Data Science Projects for Absolute Beginners
kdnuggets.comยท1d
๐Ÿ’ฌNatural Language Processing
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Databricks research reveals that building better AI judges isn't just a technical concern, it's a people problem
venturebeat.comยท5h
๐Ÿ”—Distributed Systems
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Post-training methods for language models
developers.redhat.comยท18h
๐Ÿ’ฌNatural Language Processing
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.orgยท20h
๐Ÿ“ŠEmbeddings
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NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025
youtube.comยท5hยท
Discuss: DEV
๐Ÿ’ฌNatural Language Processing
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A generative AI teaching assistant for personalized learning in medical education
nature.comยท1d
๐Ÿ’ฌNatural Language Processing
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.comยท2d
๐ŸŽฏBitboards
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.comยท1dยท
Discuss: r/LLM
๐Ÿ’ฌNatural Language Processing
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.aiยท2d
๐Ÿ”—Distributed Systems
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