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    <title>ML on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/ml/</link>
    <description>Recent content in ML on Tenu Tech Brief</description>
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      <title>Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System</title>
      <link>https://cluster-site.onrender.com/posts/decoding-ml-decision-an-agentic-reasoning-framework-for-large-scale-ranking-system/</link>
      <pubDate>Tue, 24 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/decoding-ml-decision-an-agentic-reasoning-framework-for-large-scale-ranking-system/</guid>
      <description>• GEARS reframes ranking optimization as autonomous discovery in programmable experimentation. • Uses Specialized Agent Skills to embed ranking expert knowledge into reusable reaso</description>
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      <title>Custom Models with Create ML [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</link>
      <pubDate>Tue, 24 Feb 2026 00:37:54 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</guid>
      <description>• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int</description>
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      <title>Custom Models with Create ML [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</link>
      <pubDate>Sun, 22 Feb 2026 00:38:13 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</guid>
      <description>• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int</description>
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      <title>How AI and ML are transforming investment banking&#39;s future</title>
      <link>https://cluster-site.onrender.com/posts/how-ai-and-ml-are-transforming-investment-bankings-future/</link>
      <pubDate>Fri, 13 Feb 2026 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/how-ai-and-ml-are-transforming-investment-bankings-future/</guid>
      <description>• How AI and ML are transforming investment banking&amp;rsquo;s future Markets move in milliseconds - humans don&amp;rsquo;t. • AI &amp;amp; ML close the gap between market speed and human decision-making. •</description>
    </item>
    <item>
      <title>How Automated Prompt Optimization Unlocks Quality Gains for ML Kit&#39;s GenAI Prompt API</title>
      <link>https://cluster-site.onrender.com/posts/how-automated-prompt-optimization-unlocks-quality-gains-for-ml-kits-genai-prompt-api/</link>
      <pubDate>Wed, 28 Jan 2026 17:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/how-automated-prompt-optimization-unlocks-quality-gains-for-ml-kits-genai-prompt-api/</guid>
      <description>• 28 January 2026 How Automated Prompt Optimization Unlocks Quality Gains for ML Kit&amp;rsquo;s GenAI Prompt API Posted by Chetan Tekur, PM at AI Innovation and Research, Chao Zhao, SWE at</description>
    </item>
    <item>
      <title>Building AI Agents in Kotlin - Part 5: Teaching Agents to Forget</title>
      <link>https://cluster-site.onrender.com/posts/building-ai-agents-in-kotlin-part-5-teaching-agents-to-forget/</link>
      <pubDate>Mon, 26 Jan 2026 16:09:12 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/building-ai-agents-in-kotlin-part-5-teaching-agents-to-forget/</guid>
      <description>• Agents eventually exhaust context windows, causing crashes and loss of progress. • Switching models (GPT‑5 Codex, Claude Sonnet) can improve performance but still hit limits. • T</description>
    </item>
    <item>
      <title>Updated Candidate Recommendation: Web Neural Network (WebNN) API</title>
      <link>https://cluster-site.onrender.com/posts/updated-candidate-recommendation-web-neural-network-webnn-api/</link>
      <pubDate>Thu, 22 Jan 2026 09:15:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/updated-candidate-recommendation-web-neural-network-webnn-api/</guid>
      <description>• WebNN API now a Candidate Recommendation Snapshot, ready for implementation. • Focused on low-level neural network inference with hardware acceleration support. • Updated spec in</description>
    </item>
    <item>
      <title>Remote Code Execution With Modern AI/ML Formats and Libraries</title>
      <link>https://cluster-site.onrender.com/posts/remote-code-execution-with-modern-ai/ml-formats-and-libraries/</link>
      <pubDate>Tue, 13 Jan 2026 11:00:39 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/remote-code-execution-with-modern-ai/ml-formats-and-libraries/</guid>
      <description>• Executive Summary We identified vulnerabilities in three open-source artificial intelligence/machine learning (AI/ML) Python libraries published by Apple, Salesforce and NVIDIA o</description>
    </item>
    <item>
      <title>Reddit ML Training: Smarter Scheduling, Faster Training with Kueue and GCP DWS</title>
      <link>https://cluster-site.onrender.com/posts/reddit-ml-training-smarter-scheduling-faster-training-with-kueue-and-gcp-dws/</link>
      <pubDate>Mon, 15 Dec 2025 20:32:02 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/reddit-ml-training-smarter-scheduling-faster-training-with-kueue-and-gcp-dws/</guid>
      <description>• Author: Paul Calley The landscape of machine learning and artificial intelligence is rapidly expanding, driving an immense demand for robust and scalable training platforms. • As</description>
    </item>
    <item>
      <title>Breaking Through the Noise: A Hybrid ML and LLM Framework for Identifying Engaging, Breaking Content on Reddit</title>
      <link>https://cluster-site.onrender.com/posts/breaking-through-the-noise-a-hybrid-ml-and-llm-framework-for-identifying-engaging-breaking-content-on-reddit/</link>
      <pubDate>Tue, 25 Nov 2025 16:26:25 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/breaking-through-the-noise-a-hybrid-ml-and-llm-framework-for-identifying-engaging-breaking-content-on-reddit/</guid>
      <description>• Authors: Andrew Garrett, Md Mansurul Bhuiyan With 10s of thousands of new posts on Reddit each day, identifying content that is simultaneously timely, newsworthy, and engaging pr</description>
    </item>
    <item>
      <title>Reddit&#39;s Home Feed on GPU: Unlock ML Growth and Efficiency</title>
      <link>https://cluster-site.onrender.com/posts/reddits-home-feed-on-gpu-unlock-ml-growth-and-efficiency/</link>
      <pubDate>Mon, 10 Nov 2025 19:15:56 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/reddits-home-feed-on-gpu-unlock-ml-growth-and-efficiency/</guid>
      <description>• Author: Cedric Blondeau TL;DR We migrated Reddit&amp;rsquo;s Home Feed Ranker from CPU to GPU to unlock scalability, efficiency, and enable further growth with new architectures like Trans</description>
    </item>
    <item>
      <title>Beyond the Handoff: Boosting ML Outcomes Through Integrated Scientist and Engineer Collaboration</title>
      <link>https://cluster-site.onrender.com/posts/beyond-the-handoff-boosting-ml-outcomes-through-integrated-scientist-and-engineer-collaboration/</link>
      <pubDate>Tue, 05 Aug 2025 10:31:56 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/beyond-the-handoff-boosting-ml-outcomes-through-integrated-scientist-and-engineer-collaboration/</guid>
      <description>• Expedia Group Technology - Data Beyond the Handoff: Boosting Machine Learning Outcomes Through Integrated Scientist and Engineer Collaboration Bridging the gap between innovation</description>
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      <title>Declarative Feature Engineering at PayPal</title>
      <link>https://cluster-site.onrender.com/posts/declarative-feature-engineering-at-paypal/</link>
      <pubDate>Mon, 11 Dec 2023 15:56:51 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/declarative-feature-engineering-at-paypal/</guid>
      <description>• PayPal uses declarative, config‑based feature engineering to streamline ML workflows. • Data scientists declare feature specs, leaving construction to engineering teams. • Approa</description>
    </item>
    <item>
      <title>The So-fine Real-time ML Paradigm</title>
      <link>https://cluster-site.onrender.com/posts/the-so-fine-real-time-ml-paradigm/</link>
      <pubDate>Tue, 05 Sep 2023 19:55:41 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/the-so-fine-real-time-ml-paradigm/</guid>
      <description>• Etsy&amp;rsquo;s CodeMosaic hackathon fuels rapid prototyping of bold tech ideas across teams. • Team tackled stateful and online ML to update models in near real‑time. • Current pipelines</description>
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