Where MCP falls short: data integration in the AI world
astrobee.ai·12h·
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AWS Lambda Now Seamlessly Integrates with GitHub Actions for Automated Deployments
medium.com·11h·
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Tooling ≠ Glue: Why changing AI workflows still feels like duct tape
docker.com·14h
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Error Handling Strategies in High-Performance Web Servers(2618)
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How to Choose the Right Microservice Boundaries
dev.to·3d·
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An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study
arxiv.org·2h
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Automated Real-Time Inventory Optimization via Dynamic Bayesian Network Calibration in Control Towers
dev.to·3h·
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Forward Deployed AI Research
publish.obsidian.md·22h·
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Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach
arxiv.org·2h
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Unlocking Scalability: A Deep Dive into Mixture of Experts (MoE) for Modern LLMs
dev.to·4h·
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Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
arxiv.org·2h
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The Proxy Playbook: Building Fast, Secure Middle Layers in Go
dev.to·1d·
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Scaling Interpretability
anthropic.com·22h·
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Server-Side Events Implementation for Real-Time Applications(9359)
dev.to·1d·
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Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
arxiv.org·2h
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🚀 Redis AI Query Optimizer: Predicting Database Performance Before It Breaks
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My Evolving HomeLab
reddit.com·20h·
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Circular Dependencies: The Hidden Killer Of Your Microservices! Fix It NOW.
dev.to·3d·
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Back End FinOps: Engineering Cost-Efficient Microservices in the Cloud – InfoQ
infoq.com·4d·
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Building a Tech Zeitgeist Machine: News Harvesting, Dirty Data, and the Audacity of Mr. Spruce
dev.to·1d·
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