Dataflow System, Iterative Computation, Microsoft Research, Timely

[Project] Modular IPTV/EPG platform with custom virtualization, Rust/WASM parser and Android native bridge
reddit.com·6h·
Discuss: r/rust
🚀Actix
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Kubernetes Wasn’t Built for AI, but NVIDIA Grove Might Fix That
blog.devops.dev·14h
☸️Kubernetes
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Best practices for abstracting large go func(){}() blocks in Go? Handling many parameters, closures, and concurrency.
reddit.com·22h·
Discuss: r/golang
🔵Go
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Building an autograd engine in pure Rust
evis.dev·2d·
Discuss: Hacker News
🦀Rust Macros
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What's Next in Agentic Coding
seconds0.substack.com·2d·
Discuss: Substack
💬Prompt Engineering
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AWS Lambda enhances event processing with provisioned mode for SQS event-source mapping
aws.amazon.com·8h
☁️Cloudflare Workers
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Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
arxiv.org·1d
💬Prompt Engineering
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From Charts to Code: A Hierarchical Benchmark for Multimodal Models
paperium.net·20h·
Discuss: DEV
🎨Creative Coding
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Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
arxiv.org·20h
💬Prompt Engineering
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PANDA - Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
arxiv.org·20h
📱Edge AI
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Automated Spectral Analysis of Triton’s Surface Composition for Resource Prospecting
dev.to·1d·
Discuss: DEV
📊VictoriaMetrics
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From Figma to Next.js: How I Built a Functional UI Using Kombai
dev.to·1d·
Discuss: DEV
🎨Design Systems
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Two Hours to Find a Swapped String
dev.to·23h·
Discuss: DEV
📐Type Theory
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Recent research in AI efficiency has led to a groundbreaking
dev.to·5h·
Discuss: DEV
🛡️AI Security
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Production-Ready AI Agents: 8 Patterns That Actually Work (with Real Examples from Bank of America…
pub.towardsai.net·1d
🤖Automation
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Gradient Flow Equations for Deep Linear Neural Networks: A Survey from a Network Perspective
arxiv.org·20h
🔬Deep Learning
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OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
venturebeat.com·20h
📱Edge AI
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Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
arxiv.org·20h
💬Prompt Engineering
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BIGRAM LANGUAGE MODELS USING A NEURAL NET
dev.to·11h·
Discuss: DEV
🤖Transformers
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GPU as a Service: Next-Generation Engine Powering Scalable AI and Enterprise Innovation
dev.to·13h·
Discuss: DEV
Hardware Acceleration
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