Building Software That Survives • Michael Nygard & Charles Humble • GOTO 2025
youtube.com·19h
🚀MLOps
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·1d·
Discuss: r/LLM
🤖Transformers
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Fragments Nov 3
martinfowler.com·7h
🚀MLOps
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EDL - a JIT-compiled scripting language for certain performance critical workloads with high compatibility with Rust; written in Rust
reddit.com·11h·
Discuss: r/rust
🚀MLOps
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ZkML Breakthrough: 13B Models Verified in 15 Minutes
lightcapai.medium.com·1d·
Discuss: Hacker News
🚀MLOps
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GraphMD – LLMs Powered Literate Programming Environment for Markdown Documents
github.com·1d·
Discuss: Hacker News
🚀MLOps
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[Open Source] We deployed numerous agents in production and ended up building our own GenAI framework
reddit.com·3d·
Discuss: r/LocalLLaMA
🚀MLOps
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You Need To Become A Full Stack Person
den.dev·1d
🚀MLOps
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**Microfrontend Architecture: Essential JavaScript Techniques for Building Scalable Distributed Applications**
dev.to·1d·
Discuss: DEV
🚀MLOps
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Beyond the LLM: The 8 Essential Components for Building Reliable AI Agents and Where Coding Tools Fit In
youtu.be·2d·
Discuss: DEV
🤖AI
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Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
arxiv.org·3h
⚙️Model Fine-tuning
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Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries
arxiv.org·3h
🤖AI
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Asking Our Documents the Right Questions — Locally
manas.tech·1d
🚀MLOps
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Advancing Cognitive Science with LLMs
arxiv.org·3h
📝Natural Language Processing
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🛡️ Fortify - AI-Powered Security Analysis Platform
dev.to·14h·
Discuss: DEV
🚀MLOps
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Building We Build Forest: A Side Project to Reforest the Planet - with some JS
dev.to·12h·
Discuss: DEV
🚀MLOps
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How I Built "Backend Mentor" My First Hands-On Integration with Mastra
dev.to·15h·
Discuss: DEV
🤖AI
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·3h
🔍RAG
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Introduction to AI agents in OpenSearch: From simple flow agents to advanced ReAct multi-agent systems
opensearch.org·15h
📝Natural Language Processing
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Evaluating LLMs with LangSmith: A Comprehensive Guide
analyticsvidhya.com·3d
🚀MLOps
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