[D] Why TPUs are not as famous as GPUs
reddit.com·1d·
Discuss: r/MachineLearning
⚡Hardware Acceleration
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InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-BasedIncremental Training
dev.to·9h·
Discuss: DEV
💬Prompt Engineering
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Built a Rust-based TUI alternative to MongoDB Compass — “Monjo-Kompass” (yes, the name is cursed)
github.com·2h·
Discuss: r/rust
🌱BonsaiDb
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Stop Coding. Start Directing: The Unspoken Rules of Vibe Coding
pub.towardsai.net·4h
💬Prompt Engineering
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Building LearnForge: Multi-Agent AI Learning Platform on Cloud Run with Google ADK
dev.to·18h·
Discuss: DEV
💬Prompt Engineering
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HyperMarkets: Fast, Fair, and Fun Prediction Markets on Hyperliquid Perps
dev.to·16h·
Discuss: DEV
💰TigerBeetle
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·6h·
Discuss: DEV
🎭Program Synthesis
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I wrestled AppSync WebSockets for 4 hours so you don’t have to (React + GraphQL Subscriptions)
dev.to·1d·
Discuss: DEV
⚡FastAPI
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Decoding the Deluge: Sparse Sensing for Smarter Stormwater Management by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📐Computational Geometry
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The Evergreen AI & Tech Roundup: Navigating Trends for Credibility and Career Growth (2025-11-08)
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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I wrestled AppSync WebSockets for 4 hours so you don’t have to (React + GraphQL Subscriptions)
dev.to·1d·
Discuss: DEV
🌐Axum
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Building a Decision-Making CLI Tool in Rust: "should-i"
dev.to·1d·
Discuss: DEV
🦀Rust Async
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I might have gone overboard. I built a custom LLM for my .env extension... and now I just shipped a massive UI overhaul for it.
dev.to·21h·
Discuss: DEV
🦙Ollama
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HyperMarkets: Fast, Fair, and Fun Prediction Markets on Hyperliquid Perps
future.forem.com·17h·
Discuss: DEV
💰TigerBeetle
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Process Bottleneck Breakthrough: AI-Powered Outcome Prediction
dev.to·4d·
Discuss: DEV
🚀Performance
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Understanding monitoring vs observability: core differences
dev.to·3d·
Discuss: DEV
👁️Observability
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Kubernetes Overkill: When Your Architecture Is More Complex Than Your Business
dev.to·2d·
Discuss: DEV
☸️Kubernetes
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Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
arxiv.org·2d
🚀MLOps
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Fantastic (small) Retrievers and How to Train Them: mxbai-edge-colbert-v0 TechReport
paperium.net·2d·
Discuss: DEV
📱Edge AI
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Ethics in AI Programming: Ensuring Fair and Transparent Algorithms
dev.to·1d·
Discuss: DEV
🛡️AI Security
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