Akuna OA — “Not Hard, Just Don’t Mess Up
📝Suffix Arrays
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Why Not Just Train For Interpretability?
lesswrong.com·1d
🎯Hindley-Milner
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Taming the Data Beast: Build Pipelines That Bend, Not Break by Arvind Sundararajan
🔧Data Engineering
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Human-aligned Quantification of Numerical Data
arxiv.org·2d
📊Data Science
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How to Migrate from Elasticsearch to Qdrant: A Complete Guide with Real-World Solutions
pub.towardsai.net·17h
🎯Qdrant
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We built a world‑class reranker for RAG
🔍RAG
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The Easiest Way to Build a Type Checker
🔍Type Inference
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How Relevance Models Foreshadowed Transformers for NLP
towardsdatascience.com·2d
🤖Transformers
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DNALONGBENCH: A benchmark suite for long-range DNA prediction tasks
🧬Computational Biology
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Near-Lossless Model Compression Enables Longer Context Inference in DNA Large Language Models
arxiv.org·4d
🗜️Huffman Coding
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Evolution Strategies at the Hyperscale
🔲Cellular Automata
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Symmetry Solved: Lightning-Fast Algorithms Unlock New Optimization Possibilities
📊Algorithms
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Make Your Data Pipelines 5X Faster with Adaptive Batching
hackernoon.com·2d
🔧Abseil
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