🗣️ LLMs

Large Language Models, GPT, Transformers, Prompting

Incremental Compilation in Recursive‑Descent Parser (Roslyn)
langdev.stackexchange.com·1d·
Discuss: Hacker News
🐚Shell Scripting
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Solving a problem with mindware
lesswrong.com·21h
💬Prompt Engineering
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Does Your Website Need an LLMs.txt File? + How to Create One
backlinko.com·10h
💬Prompt Engineering
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LLMs tried to run a robot in the real world – it didn't go well
techspot.com·11h
💬Prompt Engineering
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News for October 2025
ptreview.sublinear.info·13h
📊Data Science
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Can-t stop till you get enough
cant.bearblog.dev·1d·
Discuss: Hacker News
🤖AI
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None of us Read the specs
idiallo.com·1d
💬Prompt Engineering
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An underqualified reading list about the transformer architecture
fvictorio.github.io·4d·
Discuss: Hacker News
💬Prompt Engineering
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Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·2d·
Discuss: Substack
💬Prompt Engineering
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Why Agentic AI Struggles in the Real World — and How to Fix It
dev.to·2h·
Discuss: DEV
💬Prompt Engineering
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Diffusion LLMs are Natural Adversaries for any LLM
arxiv.org·7h
💬Prompt Engineering
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Using “ibm-granite/granite-speech-3.3–8b” 🪨 for ASR
dev.to·2d·
Discuss: DEV
📝NLP
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From Lossy to Lossless Reasoning
manidoraisamy.com·3d·
Discuss: Hacker News
💬Prompt Engineering
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Attention Is All You Need for KV Cache in Diffusion LLMs
paperium.net·8h·
Discuss: DEV
💬Prompt Engineering
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Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
arxiv.org·1d
📝NLP
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Accumulating Context Changes the Beliefs of Language Models
arxiv.org·7h
💬Natural Language Processing
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·2d·
Discuss: Substack
💬Prompt Engineering
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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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AstuteRAG-FQA: Task-Aware Retrieval-Augmented Generation Framework for Proprietary Data Challenges in Financial Question Answering
arxiv.org·1d
💬Prompt Engineering
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Best LLM for Deep Fitness Programming Questions?
reddit.com·22h·
Discuss: r/LLM
💬Prompt Engineering
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