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Tuesday 18 November 2025
informatics.ed.ac.uk·14h
📊Data Science
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What's the stack for going from a fine-tune on vLLM to a simple, paid public API?
reddit.com·1d·
Discuss: r/LocalLLaMA
⛓️LangChain
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From Legacy To Learning Intelligence: Knowing When To Replace Your LMS
elearningindustry.com·9h
⛓️LangChain
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DeepL Unveils Next-Gen Language AI tools and Game-Changing Agentic Productivity Solution
prnewswire.com·1d
⛓️LangChain
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Code research projects with async coding agents like Claude Code and Codex
simonwillison.net·11h·
🚀MLOps
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Engineer's Guide to Local LLMs with LLaMA.cpp on Linux
avatsaev.substack.com·19h·
Discuss: r/LocalLLaMA
⛓️LangChain
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How reliable are AI agents?
droidrun.ai·15h·
Discuss: DEV
⛓️LangChain
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Design principles for more reliable and trustworthy AI artists
techxplore.com·34m
🤖AI
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The New Optimization Stack: Where SEO Meets AI Retrieval via @sejournal, @DuaneForrester
searchenginejournal.com·12h
⛓️LangChain
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Thoughts on Kimi K2 Thinking
interconnects.ai·8h
🚀MLOps
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
app.coderabbit.ai·21h·
Discuss: DEV
🤖AI
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Automating Web Search Data Collection for AI Models with SerpApi
kdnuggets.com·1d
📝Natural Language Processing
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Detached agent chains that work like people do
dev.to·1d·
Discuss: DEV
⛓️LangChain
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Symmetry as a Superpower
dev.to·15h·
Discuss: DEV
👁️Computer Vision
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Sourcing and Collecting Data for Training Large Language Models
pub.towardsai.net·1d
📝Natural Language Processing
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Fine-Tuning LLMs: The Unseen Challenge of 'Concept Drift'
dev.to·1d·
Discuss: DEV
⚙️Model Fine-tuning
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·4d·
Discuss: DEV
🧠Machine Learning
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Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition
arxiv.org·22h
🗄️Vector Databases
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