Continuous Autoregressive Language Models
🤖AI
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
🧩Design Systems
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Neurosymbolic Deep Learning Semantics
arxiv.org·4h
🤖AI
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My dumb prompts that worked better
blog.nilenso.com·1d
💬Design Critique
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
🤖AI
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Balancing Cost, Power, and AI Performance
oreilly.com·15h
🤖AI
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Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
arxiv.org·4h
🤖AI
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Lessons from Implementing RAG in 2025
🤖AI
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An open dataset of Chinese duration expressions
nature.com·1d
🔍User Research
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·4h
🧩Psychology
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AI Summarization Optimization
🤖AI
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From Lists to Structured Data: A Transformation Guide
haarisekou200207.webbuzzfeed.com·8h
💬Design Critique
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Large language models still struggle to tell fact from opinion, analysis finds
techxplore.com·18h
🧩Psychology
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Post-training methods for language models
developers.redhat.com·1d
🤖AI
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Identifying the Periodicity of Information in Natural Language
arxiv.org·2d
🧩Psychology
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·1d
🤖AI
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