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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·4h·
Discuss: DEV
📝NLP
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The 20 Best Podcasts of 2025
theatlantic.com
·4d
🎬Documentaries
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·9h
📝NLP
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Going back to go forwards and instruction design<!-- -->
lukes-blog.vercel.app·1h·
Discuss: Hacker News
💬Prompt Engineering
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10 Linux apps I tried in 2025 that are actually worth installing
howtogeek.com·1d
🐧Linux
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AI Has Made it Easy to Own Your Tools
jimmyhmiller.github.io·1d
💬AI Code Assistants
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Kibana: Visualizing Your Data Story
dev.to·11h·
Discuss: DEV
📝Linked-Note-Taking Tools
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I have decided to open-source my note-taking project that I have used for two years.
reddit.com·2d·
Discuss: r/opensource
📝Linked-Note-Taking Tools
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Building Todoist's Ramble #2: Capturing Audio in Real-Time
doist.dev·1d·
Discuss: Hacker News
🔊Text-to-Speech
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🧠 Beyond Chatbots: Building 'Echo-Learn', an Agentic AI Tutor with Biological Memory
dev.to·1d·
Discuss: DEV
🔍RAG
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Speed vs. Substance: Is Sparse Attention Making LLMs "Dumber"?
reddit.com·2d·
Discuss: r/LocalLLaMA
🏔️Desirable Difficulties
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Show HN: Languagecat, a free dataset for people making language-learning apps
language.cat·4d·
Discuss: Hacker News
🔢Embeddings
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A Review of Language Machines by Leif Weatherby
deontologistics.substack.com·1d·
Discuss: Substack
📖Digital Hermeneutics
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Holiday Episode
corrode.dev·2d·
Discuss: r/rust
🏔️Alpine.js
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Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies: This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
github.com·4d
🔄Feed Processing
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The Yamaha Seqtrak Is My Tech ‘Upgrade of the Year’
lifehacker.com·4d
🐌Slow Tech / Humane Computing
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Unstructured Text is the Final Boss: Parsing Doctor's Notes with LLMs 🏥
wellally.tech·2d·
Discuss: DEV
🔤Text Processing
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word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
paperium.net·2d·
Discuss: DEV
🔢Embeddings
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Specification addressing inefficiencies in crawling of structured content for AI
reddit.com·3d·
Discuss: r/programming
🤖spec-driven ai-assisted development
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How to Optimize Content for ChatGPT Results (and AI Search Engines)
dev.to·14h·
Discuss: DEV
🎯Semantic Search
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