How to use Instagram’s new Restyle AI tool to reimagine your photos
techradar.com·16h
🗜️LZW Variants
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Burning out
interconnects.ai·11h·
Discuss: Lobsters, Hacker News
🌍Cultural Algorithms
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I Built a TikTok Hook Generator Prompt (and It Actually Works)
vibe.forem.com·1d·
Discuss: DEV
🔃Feed Algorithms
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Rethinking On-policy Optimization for Query Augmentation
arxiv.org·4d
🚀Query Optimization
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Show HN: Pensive – A bookmarking tool with full-text search and LLMs
getpensive.com·1d·
Discuss: Hacker News
🌱Personal Wikis
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The Case Against LLMs as Rerankers
blog.voyageai.com·3d·
Discuss: Hacker News
🎯Retrieval Systems
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Adaptive Sparse Recurrence Optimization with Dynamic Time-Varying Weights
dev.to·2d·
Discuss: DEV
🧠Intelligence Compression
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AI vs. AI
newcartographies.com·4h·
Discuss: Hacker News
🤖AI Curation
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Fairytale Hunt: In-Browser embedding search text game
ghostweather.com·2d·
Discuss: Hacker News
📜Binary Philology
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Implementing DRIFT Search with Neo4j and LlamaIndex
towardsdatascience.com·3d
🕸️Neo4j
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Identify User Journeys at Pinterest
medium.com·4d
⚖️Feed Ranking
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The Curious Case of Google's andnum=100
growthdiary.co·1d·
Discuss: Hacker News
🔃Feed Algorithms
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Downsizing Diffusion Models for Cardinality Estimation
arxiv.org·1d
📊HyperLogLog
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Scaling Recommender Transformers to a Billion Parameters
towardsdatascience.com·4d
🎛️Feed Filtering
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(2018) The Google Brain Team – Looking Back on 2017
blog.research.google·1d·
Discuss: Hacker News
🧠Machine Learning
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Unlocking AI's Inner Voice: Simulating Personalized Cognition by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🎧Learned Audio
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Are you the asshole? Of course not!—quantifying LLMs’ sycophancy problem
arstechnica.com·1d·
Discuss: Hacker News
💻Local LLMs
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SymSpell C99: Building the Fastest Spell Checker in Pure C
suman-pokhrel.com.np·3h·
Discuss: Hacker News
🌳Trie Structures
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A different kind of personal intelligence: an architecture for understanding
rebeccadai.substack.com·2d·
Discuss: Substack
🧠Intelligence Compression
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AI-Driven Personalized Learning: Predicting Academic Per-formance Through Leadership Personality Traits
arxiv.org·1d
🧠Machine Learning
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