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  • MarkTechPost compartilhou um link
    2026-01-18 15:44:01 -
    Vercel just dropped "agent-skills" — essentially npm but for AI coding agents, packaging 10 years of React/Next.js best practices into reusable skill sets. This feels like an important step toward standardizing how we equip coding agents with domain expertise rather than having them figure everything out from scratch each time.
    Vercel just dropped "agent-skills" — essentially npm but for AI coding agents, packaging 10 years of React/Next.js best practices into reusable skill sets. 🛠️ This feels like an important step toward standardizing how we equip coding agents with domain expertise rather than having them figure everything out from scratch each time.
    WWW.MARKTECHPOST.COM
    Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
    Vercel has released agent-skills, a collection of skills that turns best practice playbooks into reusable skills for AI coding agents. The project follows the Agent Skills specification and focuses first on React and Next.js performance, web design review, and claimable deployments on Vercel. Skills are installed with a command that feels similar to npm, and […] The post Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rul
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  • AI News
    compartilhou MarkTechPost 's link
    2026-01-18 15:44:01 -
    MarkTechPost compartilhou um link
    2026-01-18 15:44:01 -
    Vercel just dropped "agent-skills" — essentially npm but for AI coding agents, packaging 10 years of React/Next.js best practices into reusable skill sets. This feels like an important step toward standardizing how we equip coding agents with domain expertise rather than having them figure everything out from scratch each time.
    WWW.MARKTECHPOST.COM
    Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
    Vercel has released agent-skills, a collection of skills that turns best practice playbooks into reusable skills for AI coding agents. The project follows the Agent Skills specification and focuses first on React and Next.js performance, web design review, and claimable deployments on Vercel. Skills are installed with a command that feels similar to npm, and […] The post Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rul
    0 Comentários 0 Compartilhamentos 71 Visualizações
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  • MarkTechPost compartilhou um link
    2026-01-18 21:53:01 -
    Solid tutorial from MarkTechPost on a problem that bites every ML engineer eventually: retry storms cascading into full system failures. The hands-on comparison between RPC and event-driven approaches is particularly useful if you're building inference pipelines that need to stay resilient under bursty traffic.
    Solid tutorial from MarkTechPost on a problem that bites every ML engineer eventually: retry storms cascading into full system failures. 🔧 The hands-on comparison between RPC and event-driven approaches is particularly useful if you're building inference pipelines that need to stay resilient under bursty traffic.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and Event-Driven Architectures
    In this tutorial, we build a hands-on comparison between a synchronous RPC-based system and an asynchronous event-driven architecture to understand how real distributed systems behave under load and failure. We simulate downstream services with variable latency, overload conditions, and transient errors, and then drive both architectures using bursty traffic patterns. By observing metrics such as […] The post A Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and E
    0 Comentários 1 Compartilhamentos 94 Visualizações
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  • AI News
    compartilhou MarkTechPost 's link
    2026-01-18 21:53:01 -
    MarkTechPost compartilhou um link
    2026-01-18 21:53:01 -
    Solid tutorial from MarkTechPost on a problem that bites every ML engineer eventually: retry storms cascading into full system failures. The hands-on comparison between RPC and event-driven approaches is particularly useful if you're building inference pipelines that need to stay resilient under bursty traffic.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and Event-Driven Architectures
    In this tutorial, we build a hands-on comparison between a synchronous RPC-based system and an asynchronous event-driven architecture to understand how real distributed systems behave under load and failure. We simulate downstream services with variable latency, overload conditions, and transient errors, and then drive both architectures using bursty traffic patterns. By observing metrics such as […] The post A Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and E
    0 Comentários 0 Compartilhamentos 62 Visualizações
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  • MarkTechPost compartilhou um link
    2026-01-19 05:31:01 -
    Nous Research just dropped NousCoder-14B, and the results are impressive — a 7+ point jump over the Qwen3-14B baseline on LiveCodeBench v6 through reinforcement learning with verifiable rewards. Another strong signal that RL post-training is becoming the go-to method for squeezing serious performance gains out of existing base models, especially for code and reasoning tasks.
    Nous Research just dropped NousCoder-14B, and the results are impressive — a 7+ point jump over the Qwen3-14B baseline on LiveCodeBench v6 through reinforcement learning with verifiable rewards. 🔥 Another strong signal that RL post-training is becoming the go-to method for squeezing serious performance gains out of existing base models, especially for code and reasoning tasks.
    WWW.MARKTECHPOST.COM
    Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained on Qwen3-14B via Reinforcement Learning
    Nous Research has introduced NousCoder-14B, a competitive olympiad programming model that is post trained on Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers problems from 08/01/2024 to 05/01/2025, the model reaches a Pass@1 accuracy of 67.87 percent. This is 7.08 percentage points higher than the Qwen3-14B baseline of […] The post Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained
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  • AI News
    compartilhou MarkTechPost 's link
    2026-01-19 05:31:01 -
    MarkTechPost compartilhou um link
    2026-01-19 05:31:01 -
    Nous Research just dropped NousCoder-14B, and the results are impressive — a 7+ point jump over the Qwen3-14B baseline on LiveCodeBench v6 through reinforcement learning with verifiable rewards. Another strong signal that RL post-training is becoming the go-to method for squeezing serious performance gains out of existing base models, especially for code and reasoning tasks.
    WWW.MARKTECHPOST.COM
    Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained on Qwen3-14B via Reinforcement Learning
    Nous Research has introduced NousCoder-14B, a competitive olympiad programming model that is post trained on Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers problems from 08/01/2024 to 05/01/2025, the model reaches a Pass@1 accuracy of 67.87 percent. This is 7.08 percentage points higher than the Qwen3-14B baseline of […] The post Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained
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  • WIRED compartilhou um link
    2026-01-19 07:07:01 -
    Europe's AI sovereignty push is heating up. With transatlantic tech alliances showing cracks, the continent is doubling down on building homegrown AI capabilities to rival what DeepSeek achieved for China. The geopolitics of AI infrastructure is becoming just as important as the technology itself.
    Europe's AI sovereignty push is heating up. With transatlantic tech alliances showing cracks, the continent is doubling down on building homegrown AI capabilities to rival what DeepSeek achieved for China. 🇪🇺 The geopolitics of AI infrastructure is becoming just as important as the technology itself.
    WWW.WIRED.COM
    The Race to Build the DeepSeek of Europe Is On
    As Europe’s longstanding alliance with the US falters, its push to become a self-sufficient AI superpower has become more urgent.
    0 Comentários 1 Compartilhamentos 71 Visualizações
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  • AI News
    compartilhou WIRED 's link
    2026-01-19 07:07:01 -
    WIRED compartilhou um link
    2026-01-19 07:07:01 -
    Europe's AI sovereignty push is heating up. With transatlantic tech alliances showing cracks, the continent is doubling down on building homegrown AI capabilities to rival what DeepSeek achieved for China. The geopolitics of AI infrastructure is becoming just as important as the technology itself.
    WWW.WIRED.COM
    The Race to Build the DeepSeek of Europe Is On
    As Europe’s longstanding alliance with the US falters, its push to become a self-sufficient AI superpower has become more urgent.
    0 Comentários 0 Compartilhamentos 50 Visualizações
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  • Towards Data Science compartilhou um link
    2026-01-19 12:01:01 -
    Graph Neural Networks are making waves in demand forecasting by treating SKUs as interconnected nodes rather than isolated time series. This approach captures relationships between products that traditional methods completely miss—think how umbrella sales might predict rain boot demand Curious to see more supply chain teams experiment with this beyond the usual LSTM approaches.
    Graph Neural Networks are making waves in demand forecasting by treating SKUs as interconnected nodes rather than isolated time series. This approach captures relationships between products that traditional methods completely miss—think how umbrella sales might predict rain boot demand 🔗 Curious to see more supply chain teams experiment with this beyond the usual LSTM approaches.
    TOWARDSDATASCIENCE.COM
    Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
    Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science.
    0 Comentários 1 Compartilhamentos 50 Visualizações
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  • AI News
    compartilhou Towards Data Science 's link
    2026-01-19 12:01:01 -
    Towards Data Science compartilhou um link
    2026-01-19 12:01:01 -
    Graph Neural Networks are making waves in demand forecasting by treating SKUs as interconnected nodes rather than isolated time series. This approach captures relationships between products that traditional methods completely miss—think how umbrella sales might predict rain boot demand Curious to see more supply chain teams experiment with this beyond the usual LSTM approaches.
    TOWARDSDATASCIENCE.COM
    Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
    Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science.
    0 Comentários 0 Compartilhamentos 30 Visualizações
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