Large Language Models, GPT, Transformers, Prompting

Show HN: ChatGPT for Forms
proloom.app·4h·
Discuss: Hacker News
💬Natural Language Processing
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News for October 2025
ptreview.sublinear.info·21h
📊Data Science
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An end-to-end multilingual framework for intelligent analysis of risk influence factors in ship grounding accidents
sciencedirect.com·4h
💬Prompt Engineering
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GEN-0: SoTA 10B+ Foundation Model for Robotics with Harmonic Reasoning
generalistai.com·16m·
Discuss: Hacker News
💬Natural Language Processing
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LLMs tried to run a robot in the real world – it didn't go well
techspot.com·19h
💬Prompt Engineering
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How AI is helping us monitor and support vulnerable ecosystems
phys.org·6h
🧠Machine Learning
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Parsing with zippers improves parsing with derivatives
dl.acm.org·2d·
Discuss: Hacker News
💬Natural Language Processing
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Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·2d·
Discuss: Substack
💬Prompt Engineering
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Incremental Compilation in Recursive‑Descent Parser (Roslyn)
langdev.stackexchange.com·2d·
Discuss: Hacker News
🐚Shell Scripting
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None of us Read the specs
idiallo.com·1d
💬Prompt Engineering
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
venturebeat.com·30m
💬Prompt Engineering
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Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction
arxiv.org·15h
💬Natural Language Processing
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.to·4d·
Discuss: DEV
💬Prompt Engineering
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The 8-Word Prompt That’s Revolutionizing AI Creativity
pub.towardsai.net·7h
💬Prompt Engineering
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.org·15h
💬Prompt Engineering
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Radar Trends to Watch: November 2025
oreilly.com·8h
💬Prompt Engineering
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Reversal Invariance in Autoregressive Language Models
arxiv.org·15h
💬Prompt Engineering
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·15h
🎯Reinforcement Learning
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·15h
🧠Machine Learning
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