Deciphering Human Language for Machines: A Developer's Guide to NLP
💬Natural Language Processing
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My dumb prompts that worked better
blog.nilenso.com·1d
💬Prompt Engineering
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·3h
💬Prompt Engineering
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Can LLMs subtract numbers?
arxiv.org·3h
🧮Algebraic Effects
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Continuous Autoregressive Language Models
📱Edge AI
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Lowering in Reverse
buttondown.com·1d
🔥DataFusion
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From Lists to Structured Data: A Transformation Guide
haarisekou200207.webbuzzfeed.com·7h
🏗️Data Modeling
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original ↗
raymondcamden.com·2d
🐛Fuzzing
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Radar Trends to Watch: November 2025
oreilly.com·20h
🎭Program Synthesis
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[Tips, very lenghty] What your language should probably need to be able to communicate effectively.
🔤Language Design
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Building a tool to normalize messy support chat data for fine-tuning - would this help you?
🌳Tree-sitter
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An open dataset of Chinese duration expressions
nature.com·1d
💬Natural Language Processing
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My dumb prompts that worked better
blog.nilenso.com·1d
💬Prompt Engineering
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Rodrigo Girão Serrão: A generator, duck typing, and a branchless conditional walk into a bar
mathspp.com·11h
λFunctional Programming
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GDM: Consistency Training Helps Limit Sycophancy and Jailbreaks in Gemini 2.5 Flash
lesswrong.com·15h
🎨Design Systems
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Imperfect Language, Artificial Intelligence, and the Human Mind: An Interdisciplinary Approach to Linguistic Errors in Native Spanish Speakers
arxiv.org·1d
📝NLP
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10 ChatGPT prompts that help you learn a new language faster
makeuseof.com·13h
💬Prompt Engineering
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