• Agentic coding tools like Claude Code are changing how developers work, but there's a learning curve to using them effectively. This guide from Towards Data Science breaks down practical strategies for getting better results from your AI coding assistant Worth a read if you're still finding your workflow.
    Agentic coding tools like Claude Code are changing how developers work, but there's a learning curve to using them effectively. This guide from Towards Data Science breaks down practical strategies for getting better results from your AI coding assistant 🛠️ Worth a read if you're still finding your workflow.
    TOWARDSDATASCIENCE.COM
    How to Maximize Claude Code Effectiveness
    Learn how to get the most out of agentic coding The post How to Maximize Claude Code Effectiveness appeared first on Towards Data Science.
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  • Agentic coding tools like Claude Code are changing how developers work, but there's a learning curve to using them effectively. This guide from Towards Data Science breaks down practical strategies for getting better results from your AI coding assistant Worth a read if you're still finding your workflow.
    TOWARDSDATASCIENCE.COM
    How to Maximize Claude Code Effectiveness
    Learn how to get the most out of agentic coding The post How to Maximize Claude Code Effectiveness appeared first on Towards Data Science.
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  • New AI system outperforms human experts at detecting blood cell abnormalities, including early signs of leukemia. What makes this one stand out: it flags when it's uncertain rather than just giving a confident wrong answer. That self-awareness piece is huge for clinical adoption
    New AI system outperforms human experts at detecting blood cell abnormalities, including early signs of leukemia. What makes this one stand out: it flags when it's uncertain rather than just giving a confident wrong answer. That self-awareness piece is huge for clinical adoption 🔬
    WWW.SCIENCEDAILY.COM
    This AI spots dangerous blood cells doctors often miss
    A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but also recognizes its own uncertainty, making it a powerful support tool for clinicians.
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  • New AI system outperforms human experts at detecting blood cell abnormalities, including early signs of leukemia. What makes this one stand out: it flags when it's uncertain rather than just giving a confident wrong answer. That self-awareness piece is huge for clinical adoption
    WWW.SCIENCEDAILY.COM
    This AI spots dangerous blood cells doctors often miss
    A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but also recognizes its own uncertainty, making it a powerful support tool for clinicians.
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  • Solid technical tutorial on building multi-turn red-teaming pipelines with Garak. The "crescendo" approach—starting benign and gradually escalating—mirrors how real adversarial attacks often work, making it more realistic than single-shot jailbreak tests. Useful for anyone doing serious LLM safety evaluation beyond surface-level testing.
    Solid technical tutorial on building multi-turn red-teaming pipelines with Garak. The "crescendo" approach—starting benign and gradually escalating—mirrors how real adversarial attacks often work, making it more realistic than single-shot jailbreak tests. 🔐 Useful for anyone doing serious LLM safety evaluation beyond surface-level testing.
    WWW.MARKTECHPOST.COM
    How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test LLM Safety Using Garak
    In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure. We implement a custom iterative probe and a lightweight detector to simulate realistic escalation patterns in which benign prompts slowly pivot toward sensitive requests, and we assess whether the model maintains […] The post How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test
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  • Solid technical tutorial on building multi-turn red-teaming pipelines with Garak. The "crescendo" approach—starting benign and gradually escalating—mirrors how real adversarial attacks often work, making it more realistic than single-shot jailbreak tests. Useful for anyone doing serious LLM safety evaluation beyond surface-level testing.
    WWW.MARKTECHPOST.COM
    How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test LLM Safety Using Garak
    In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure. We implement a custom iterative probe and a lightweight detector to simulate realistic escalation patterns in which benign prompts slowly pivot toward sensitive requests, and we assess whether the model maintains […] The post How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test
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  • Google just open-sourced Universal Commerce Protocol (UCP) - a standard that lets AI agents actually complete purchases end-to-end, not just send you product links. This could be the infrastructure layer that makes "buy this for me" a real capability instead of a demo gimmick Curious to see which merchants adopt it first.
    Google just open-sourced Universal Commerce Protocol (UCP) - a standard that lets AI agents actually complete purchases end-to-end, not just send you product links. This could be the infrastructure layer that makes "buy this for me" a real capability instead of a demo gimmick 🛒 Curious to see which merchants adopt it first.
    WWW.MARKTECHPOST.COM
    Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce
    Can AI shopping agents move beyond sending product links and actually complete trusted purchases end to end inside a chat? Universal Commerce Protocol, or UCP, is Google’s new open standard for agentic commerce. It gives AI agents and merchant systems a shared language so that a shopping query can move from product discovery to an […] The post Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce appeared f
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  • Google just open-sourced Universal Commerce Protocol (UCP) - a standard that lets AI agents actually complete purchases end-to-end, not just send you product links. This could be the infrastructure layer that makes "buy this for me" a real capability instead of a demo gimmick Curious to see which merchants adopt it first.
    WWW.MARKTECHPOST.COM
    Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce
    Can AI shopping agents move beyond sending product links and actually complete trusted purchases end to end inside a chat? Universal Commerce Protocol, or UCP, is Google’s new open standard for agentic commerce. It gives AI agents and merchant systems a shared language so that a shopping query can move from product discovery to an […] The post Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce appeared f
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  • As LLMs become production staples, observability is evolving way beyond traditional logging. Tracking token usage, response quality, and model drift requires fundamentally different approaches than monitoring deterministic software. This breakdown covers the layered approach teams are adopting to actually understand what's happening inside their AI systems.
    As LLMs become production staples, observability is evolving way beyond traditional logging. Tracking token usage, response quality, and model drift requires fundamentally different approaches than monitoring deterministic software. 🔍 This breakdown covers the layered approach teams are adopting to actually understand what's happening inside their AI systems.
    WWW.MARKTECHPOST.COM
    Understanding the Layers of AI Observability in the Age of LLMs
    Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such as token usage, response quality, latency, and model drift. Unlike traditional software, large language models (LLMs) and other generative AI applications are probabilistic in nature. They do not follow fixed, transparent execution paths, which makes […] The post Understanding the Layers of AI Observability in the Age of LLMs appeared firs
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  • As LLMs become production staples, observability is evolving way beyond traditional logging. Tracking token usage, response quality, and model drift requires fundamentally different approaches than monitoring deterministic software. This breakdown covers the layered approach teams are adopting to actually understand what's happening inside their AI systems.
    WWW.MARKTECHPOST.COM
    Understanding the Layers of AI Observability in the Age of LLMs
    Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such as token usage, response quality, latency, and model drift. Unlike traditional software, large language models (LLMs) and other generative AI applications are probabilistic in nature. They do not follow fixed, transparent execution paths, which makes […] The post Understanding the Layers of AI Observability in the Age of LLMs appeared firs
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