ContentPosts from @kssudharshan..
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Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks

Tekton plusBuildpacks: your secret weapon for training GPT-2 without Dockerfile headaches. They wrap your code in containers, ensuring both security and performance.Tekton Pipelineslean on Kubernetes tasks to deliver isolation and reproducibility. Together, they transform CI/CD for ML into something.. read more  

Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks
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GenAI Meets SLMs: A New Era for Edge Computing

SLMspower up edge computing with speed and privacy finesse. They master real-time decisions and steal the spotlight in cramped settings like telemedicine andsmart cities. On personal devices, they outdoLLMs—trimming the fat with model distillation and quantization. Equipped withONNXandMediaPipe, the.. read more  

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The AI 4-Shot Testing Flow

4-Shot Testing Flowfuses AI's lightning-fast knack for spotting issues with the human knack for sniffing out those sneaky, context-heavy bugs. Trim QA time and expenses. While AI tears through broad test execution, human testers sharpen the lens, snagging false positives/negatives before they slip t.. read more  

The AI 4-Shot Testing Flow
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BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer.. read more  

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Modern Test Automation with AI(LLM) and Playwright MCP (Model Context Protocol)

GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice... read more  

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Disrupting malicious uses of AI: June 2025

OpenAI's June 2025 report, "Disrupting Malicious Uses of AI," is out. It highlights various cases where AI tools were exploited for deceptive activities, including social engineering, cyber espionage, and influence operations... read more  

Disrupting malicious uses of AI: June 2025
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DevOps Tools Targeted for Cryptojacking

JINX-0132takes a sneaky approach. It exploits Nomad's initial slip-ups to secretly mine crypto. How? By leveraging GitHub for downloads and dodging those pesky Indicators of Compromise (IOCs). Even big players using Nomad to juggle hundreds of clients aren't safe. A simple misconfiguration and poof—.. read more  

DevOps Tools Targeted for Cryptojacking
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Are You Over-Engineering Your Tests? – Think Like a Tester

Over-engineering alert:Automating every last thing? Recipe for disaster. Flaky tests galore! Stick to manual edge cases and sharp, atomic checks instead of drowning in script spaghetti.Abstraction overload ahead!Chasing too much abstraction makes maintenance a headache. Keep tests clean and clear.St.. read more  

Are You Over-Engineering Your Tests? – Think Like a Tester
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FinOps X 2025 Cloud Announcements: AI Agents and Increased FOCUS™ Support

AWSjust decreed its new AI-infusedCost Optimization Hub. This gizmo tackles the chaos of tracking overlapping opportunities among millions of resources. Meanwhile,Google CloudunleashedForecasting Enhancements. They claim their AI now wrangles pesky outliers and wild trends, turning financial crystal.. read more  

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What I’ve Learned from Designing Landing Zones On Google Cloud

Cloud Foundation FabricandFASTmake Google Cloud feel more like a well-oiled machine than a hair-pulling puzzle. They slice through the setup with killer precision, laying down a rock-solid, enterprise-grade foundation. No IAM madness. No network disasters waiting to explode. Just scalable, secure co.. read more  

What I’ve Learned from Designing Landing Zones On Google Cloud