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@faun shared a link, 8 months ago

FAUN.dev()

Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

Welcome to the jungle of customer support automation, fueled byAmazon BedrockandLangGraph. These tools juggle the circus act of ticket management, fraud sleuthing, and crafting responses that could even fool your mother. Integration with the likes ofJiramakes for a dynamic duo. Together, they tackle.. read more

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@faun shared a link, 8 months ago

FAUN.dev()

Reinforcement Learning Teachers of Test Time Scaling

Reinforcement-Learned Teachers (RLTs)ripped through LLM training bloat by swapping "solve everything from ground zero" with "lay it out in clear terms." Shockingly, a lean 7B model took down hefty beasts likeDeepSeek R1. These RLTs flipped the script, letting smaller models school the big kahunas wi.. read more

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@faun shared a link, 8 months ago

FAUN.dev()

Amazon CEO warns staff: Eat or be eaten by AI

Amazon'sCEO sounds the alarm: AI is gearing up to decimate office jobs. He urges employees to sharpen their skills or risk getting the axe, all while Amazon unleashes a cavalcade of over1,000generative AI projects... read more

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@faun shared a link, 8 months ago

FAUN.dev()

ChatGPT polluted the world forever, like the first atom bomb

AI model collapsecould hit hard with synthetic data in play. Picturepre-2022 dataas the “low-background steel” savior for pristine datasets. The industry squabbles over thetrue fallout, while researchers clamor for policies that keep data unsullied. The worry? AI behemoths might lock everyone else o.. read more

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@faun shared a link, 8 months ago

FAUN.dev()

How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks

The Gemini Agent Network Protocol introduces powerful AI collaboration with four distinct roles. Leveraging Google’s Gemini models, agents communicate dynamically for improved problem-solving... read more

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@faun shared a link, 8 months ago

FAUN.dev()

Lenovo introduces new AI-optimized data center systems

Lenovo'sThinkSystem SR680a V4doesn't just perform—it explodes with AI power, thanks to Nvidia'sB200GPUs. We're talking4nmchips with a mind-boggling208 billion transistors. Boost? Try11x... read more

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@faun shared a link, 8 months ago

FAUN.dev()

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

FrontierLarge Reasoning Models (LRMs)crash into an accuracy wall when tackling overly intricate puzzles, even when their token budget seems bottomless.LRMsexhibit this weird scaling pattern: they fizzle out as puzzles get tougher, while, curiously, simpler models often nail the easy stuff with flair.. read more

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@faun shared a link, 8 months ago

FAUN.dev()

AI at Amazon: a case study of brittleness

Amazon Alexa floundered amid brittle systems: a decentralized mess where teams rowed in opposing directions, clashing product and science cultures in tow... read more

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@faun shared a link, 8 months ago

FAUN.dev()

Deploying Llama4 and DeepSeek on AI Hypercomputer

Meta's Llama4models, Scout and Maverick, strut around with17B active parametersunder a Mixture of Experts architecture. But deploying onGoogle Cloud's Trillium TPUsor A3 GPUs? That's become a breeze with new, fine-tuned recipes. Utilizing tools likeJetStreamandPathways? It means zipping through infe.. read more

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@faun shared a link, 8 months ago

FAUN.dev()

Announcing up to 45% price reduction for Amazon EC2 NVIDIA GPU-accelerated instances

AWS chops up to45%from Amazon EC2 NVIDIA GPU prices. Now your AI training costs less even as GPUs play hard to get... read more

DevOpsDayLA is Southern California's premier conference focused on the human side of technology delivery. For 15 years, we've brought together SoCal practitioners who understand that great software isn't just about tools, it's about people working together effectively.

The 2026 Lens: DevOps in an AI World: You're working in a world where AI is everywhere, embedded in your tools, requested by your management, and reshaping how teams deliver software. Whether you're embracing these changes or navigating the challenges they create, your experience matters.

We're looking for stories about how you and your organizations are adapting your mindsets, processes, and team dynamics in this rapidly evolving landscape. How did your team integrate AI into existing workflows? What changed about collaboration when AI entered the picture? Where do humans remain critical in automated processes? How do you build the next generation of engineers when entry-level work is automated? What are the real implementation challenges you're facing in Southern California's entertainment, gaming, aerospace, retail, healthcare, and manufacturing companies?

What makes DevOpsDayLA different: We focus on culture, collaboration, and cross-industry implementation stories rather than pure technical deep-dives. We're all about the people and processes that make technology successful in an AI world, not the technology itself.

We especially welcome new speakers, under-represented voices, and fresh perspectives from across SoCal's diverse tech landscape.

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Friday, March 6, 2026 - 10:00 to 17:00