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CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
arxiv.org·3d
🎨Chroma
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Built a local vector database for RAG that handles datasets bigger than RAM
github.com·2d·
🦆Daft
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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·1h
🤖Transformers
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How to Train Ultralytics YOLOv8 models on Your Custom Dataset | 196 classes
reddit.com·12h·
Discuss: r/programming
🤖TVM
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·14h·
Discuss: DEV
🐻‍❄️Polars
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Multi-omics integration identifies diverse transcripts and chromatin accessibility profiles in <i>Monopterus albus</i> gonads
nature.com·19h
🧬Computational Biology
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·7h·
📋Columnar Storage
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·2d
📱Edge AI
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Rodgers, Steelers could clinch AFC North before Browns game
bradfordera.com·1d
Gleam
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Regression by Composition
lesswrong.com·1d
🧠Machine Learning
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Deep Graph Contrastive Representation Learning
paperium.net·4h·
Discuss: DEV
🎨Chroma
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·14h
🌀Naiad
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Book Review: Why Machines Learn
philippdubach.com·1d·
Discuss: Hacker News
💬Prompt Engineering
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🔥PyTorch
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Hershey Vector Font
paulbourke.net·1d
📏Run-Length Encoding
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Paper: University of Michigan hypermutator dynamics on wafer-scale agent simulations
armdevices.net·1d
LMAX Disruptor
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🔄Memory Ordering
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·10h·
Discuss: r/LocalLLaMA
📊HyperLogLog
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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