ContentPosts from @servsan..
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Google Cloud donates A2A to Linux Foundation- Google Developers Blog

IntroducingAgent2Agentand brace yourself for the heavyweights—AWS, Cisco, Google, and a few more, are in on it. Their mission? Crafting the universal lingo for AI agents. It's called theA2A protocol. Finally, they're smashing the silos holding AI back... read more  

Google Cloud donates A2A to Linux Foundation- Google Developers Blog
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Context Engineering for Agents

Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolates—never missing a beat despite those pesky token limits. Nail the context, and you've got a dream team. Slip up, though, and you might trigger chaos, like when ChatGPT went r.. read more  

Context Engineering for Agents
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My Honest Advice for Aspiring Machine Learning Engineers

Becoming a machine learning engineer requires dedicatingat least 10 hours per weekto studying outside of everyday responsibilities. This can take a minimum of two years, even with an ideal background, due to the complexity of the required skills. Understanding core algorithms and mastering the funda.. read more  

My Honest Advice for Aspiring Machine Learning Engineers
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Building tiny AI tools for developer productivity

Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think... read more  

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LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI

Dump BLEU and ROUGE. Let LLM-as-a-judge tools like G-Eval propel you to pinpoint accuracy.The old scorers? They whiff on meaning, like a cat batting at a laser dot.DeepEval? It wrangles bleeding-edge metrics with five lines of neat code.Want a personal touch? G-Eval's got your back. DAG keeps benchm.. read more  

LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
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MCP — The Missing Link Between AI Models and Your Applications

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

MCP — The Missing Link Between AI Models and Your Applications
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Building “Auto-Analyst” — A data analytics AI agentic system

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus... read more  

Building “Auto-Analyst” — A data analytics AI agentic system
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Grafana Tempo 2.8 release: memory improvements, new TraceQL features, and more

Grafana Tempo 2.8lands with a bang. Say hello toTraceQL query hints—they bump up results you care about and streamline span searches with parent span IDs. Meanwhile,compactor poolingrevamps slashes memory usage. Kiss those OOM errors goodbye. Important heads-up:serverless features are historyand the.. read more  

Grafana Tempo 2.8 release: memory improvements, new TraceQL features, and more
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Critical Linux “sudo” flaw allows any user to take over the system

Millions of Linux systems are vulnerable to a sudo flaw allowing unauthorized users to run commands as root. The bug affects Ubuntu and Fedora servers, escalates privileges to root, and requires installation of the latest sudo packages for mitigation. The flaw lies in the seldom-used sudo chroot fea.. read more  

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Linux 6.16 Performance Regression Tracked Down In New Futex Code

Linux 6.16takes a36% performance nosediveon AMD EPYC 9005 all thanks toFUTEXPRIVATEHASH. The quick fix? Yank it. Engineers scramble for a smarter solution... read more Â