LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·9h
🗣️LLMs
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Beyond Brute Force: AI That Thinks Like an Engineer by Arvind Sundararajan
dev.to·14h·
Discuss: DEV
🤖AI
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·24m·
Discuss: Hacker News
🗣️LLMs
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Building a Prompt Engineering Toolkit for Developers
amzn.to·1d·
Discuss: DEV
💻CLI Tools
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
paperium.net·1d·
Discuss: DEV
🗣️LLMs
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·10h·
Discuss: Hacker News
🤖AI
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Context Engineering for Agents
pub.towardsai.net·18h
🗣️LLMs
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·14h
🗣️LLMs
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Is Prompt Engineering Becoming the Core Skill for Modern SEO?
future.forem.com·1d·
Discuss: DEV
📝NLP
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·12h
🗣️LLMs
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New prompt injection papers: Agents Rule of Two and The Attacker Moves Second
simonw.substack.com·1d·
Discuss: Substack
🤖AI
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AI Summarization Optimization
schneier.com·13h·
Discuss: Hacker News
💬Natural Language Processing
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Testing Unnatural Prompt Engineering Across Five Large Language Models
blog.codeminer42.com·3d
🗣️LLMs
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Unlocking LLMs: The Self-Steering Revolution
dev.to·1d·
Discuss: DEV
🗣️LLMs
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·22h·
Discuss: r/LLM
🗣️LLMs
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AI Models Write Code with Security Flaws 18–50% of the Time, New Study Finds
medium.com·7h·
Discuss: Hacker News
🤖AI
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Building a Production-Ready AI Agent
api.github.com·4h·
Discuss: DEV
🤖AI
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How We Built a Custom Vision LLM to Improve Document Processing at Grab
engineering.grab.com·1h
💬Natural Language Processing
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Document-Driven Development in Next.js: How I Stopped Losing My Mind Managing Requirements
danielkliewer.com·13h·
Discuss: Hacker News, r/reactjs
🐚Shell Scripting
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🗣️LLMs
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