🔗 LangChain

LLM Applications, Chains, Prompt Engineering, AI Orchestration

The Best LLM and AI Orchestration Toolkits for Your Stack
dev.to·8h·
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MCP-DSL. 75-85% Fewer Tokens. Same Great Taste
blog.orangecountyai.com·4h·
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Nested Learning: The Illusion of Deep Learning Architectures
arxiviq.substack.com·5h·
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How to use Claude Code for big tasks without turning your code to shit
holdtherobot.com·2h·
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Nebius platform focuses on scalable AI inferencing
techzine.eu·10h
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Inside KubeCon 2025: How Arm and its CNCF partners are transforming the way the world builds cloud-native systems
newsroom.arm.com·5h
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Lean4 Macros for Implementing Custom Quantifiers
jamesoswald.dev·1d·
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Building an ML Language from Scratch: Introducing Charl
dev.to·8h·
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Experiments in Autonomous AI Development
kenforthewin.github.io·22h·
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What I learned building a language-learning app
chadnauseam.com·52m·
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Deep Learning for Molecules and Materials
dmol.pub·12h·
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I built a node-based tool to help people create better AI workflows. Need beta testers with solid projects to test it on.
reddit.com·12h·
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I paired NotebookLM with my local LLM, and it's been a surprising game-changer
xda-developers.com·2d
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Launch HN: Hypercubic (YC F25) – AI for COBOL and Mainframes
news.ycombinator.com·5h·
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·11h
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Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
venturebeat.com·1h
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Right-sized AI: Good for business, users, and the planet
web.dev·5h·
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DevMind - AI-Powered Developer Second Brain
dev.to·18h·
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·2d·
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QueST: Incentivizing LLMs to Generate Difficult Problems
dev.to·17h·
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