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@faun shared a link, 4 months, 1 week ago

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..

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@faun shared a link, 4 months, 1 week ago

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...

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@faun shared a link, 4 months, 1 week ago

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement Learningfine-tunes large language models for better performance by adapting outputs based on structured feedback. Scaling RL for LLMs faces resource challenges due to massive computation, model sizes, and engineering problems like GPU idle time. Meta's LlamaRL is a PyTorch-based asynch..

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale
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@faun shared a link, 4 months, 1 week ago

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...

Disrupting malicious uses of AI: June 2025
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@faun shared a link, 4 months, 1 week ago

What execs want to know about multi-agentic systems with AI

Lack of resources kills agent teamwork in Multi-Agent Systems (MAS); clear roles and protocols rule the roost—plus a dash of rigorous testing and good AI behavior.Ignore bias, and your MAS could accidentally nudge e-commerce into the murky waters of socio-economic unfairness. Cue reputation hits and..

What execs want to know about multi-agentic systems with AI
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@faun shared a link, 4 months, 1 week ago

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..

Are You Over-Engineering Your Tests? – Think Like a Tester
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@faun shared a link, 4 months, 1 week ago

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..

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@faun shared a link, 4 months, 1 week ago

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—..

DevOps Tools Targeted for Cryptojacking
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@faun shared a link, 4 months, 1 week ago

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..

What I’ve Learned from Designing Landing Zones On Google Cloud
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@faun shared a link, 4 months, 1 week ago

You’re not a platform team if you’re just managing infrastructure

Platform engineering? It's not just gift-wrapping infrastructure as a service. It's about handing devs the reins and saying, "Go wild." Think of it like an Internal Developer Platform (IDP), similar to theGoogle Cloud Platform. Here, users truly own their services. The result? Scalability soars, bot..

You’re not a platform team if you’re just managing infrastructure

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