Optimizing Datalog for the GPU
dl.acm.org·9h·
Discuss: Lobsters
🗄️Vector Databases
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Introducing the Unicode Inflection Library Technical Preview Release
blog.unicode.org·7h
📝Natural Language Processing
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I Published My First NPM Package: create-pwa-boilerplate 🚀
npmjs.com·17h·
Discuss: DEV
🚀MLOps
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Porting Lean to the ESP32-C3 RISC-V Microcontroller
kuruczgy.com·1d·
Discuss: Lobsters, Hacker News
🚀MLOps
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A journey of 4+ years to reach the 100th GitHub release of our open-source observability platform
signoz.io·19h·
Discuss: Hacker News, r/opensource
🚀MLOps
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Gaiwan: October Recap
gaiwan.co·2d
🚀MLOps
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The AI Village Where Top Chatbots Collaborate–and Compete
time.com·1d·
Discuss: Hacker News, r/technews
🤖AI
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Automating Web Search Data Collection for AI Models with SerpApi
kdnuggets.com·9h
📝Natural Language Processing
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Building Software That Survives • Michael Nygard & Charles Humble • GOTO 2025
youtube.com·2d
🚀MLOps
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·3d·
Discuss: r/LLM, r/LocalLLaMA
🤖Transformers
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To write secure code, be less gullible than your AI
stackoverflow.blog·1d
🚀MLOps
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
dev.to·11h·
Discuss: DEV
📈Model Evaluation
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From Zero to AI Agent: How I Built Codexa in 24 Hours with Mastra and Telex.im
github.com·1d·
Discuss: DEV
🤖AI
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Reinforcement Learning: Why It's Quietly Powering the AI Revolution
dev.to·12h·
Discuss: DEV
🤖AI
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.medium.com·1d·
Discuss: Hacker News
🚀MLOps
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Before there was Kubernetes, there was Borg......
dev.to·9h·
Discuss: DEV
🚀MLOps
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About AI and context
dev.to·19h·
Discuss: DEV
🤖AI
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Trust in the Machine: Building Reputable Service Networks for AI Agents
dev.to·2d·
Discuss: DEV
🚀MLOps
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Automated Material Mixing Optimization for Large-Scale 3D Printed Concrete Structures via Bayesian Reinforcement Learning
dev.to·43m·
Discuss: DEV
👁️Computer Vision
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AI Workflow Integration: From Models to Methods, How Engineering Teams Will Change
github.com·1d·
Discuss: DEV
🚀MLOps
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