Are large language models worth it?
nicholas.carlini.com·4d·
🎮Reinforcement Learning
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New business metadata features in Amazon SageMaker Catalog to improve discoverability across organizations
aws.amazon.com·3d
🗂️Metadata Management
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The "Meh-Trics" Reloaded: Why I Was 100% Wrong About Metrics (& Also 100% Right)
honeycomb.io·3d·
Discuss: Hacker News
👁️Observability
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Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB
towardsdatascience.com·1d
🐻Polars
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GRAPHTEXTACK: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
arxiv.org·5d
🕸️Knowledge Graphs
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Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises
towardsdatascience.com·5d
📊Data Lineage
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Classification of worldwide news articles by perceived quality, 2018-2024
arxiv.org·2d
🔄Feed Aggregation
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The Aegypti Algorithm
dev.to·3d·
Discuss: DEV
📊Approximate Computing
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Dynamic Anomaly Identification in Accounting Transactions via Multi-Head Self-Attention Networks
arxiv.org·5d
🔍AI Detection
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Disparity-in-Differences: Extracting Hierarchical Backbones of Weighted Directed Networks
arxiv.org·2d
🕸️Knowledge Graphs
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ClickHouse: The Good, The Bad, and The Ugly
dev.to·6d·
Discuss: DEV
ClickHouse
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The Environmental Impact of Ensemble Techniques in Recommender Systems
arxiv.org·5d
🔄Feed Aggregation
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How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j
towardsdatascience.com·2d
🕸️Graph Databases
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Optimal Self-Consistency for Efficient Reasoning with Large Language Models
arxiv.org·5d
⚙️Query Compilers
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A practical guide to refactoring complex database queries in Laravel
dev.to·2d·
Discuss: DEV
🧮Apache Calcite
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