ContentPosts from @74c3dcb7..
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@kala shared a link, 10 hours ago
FAUN.dev

Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference

Amazon rolled out fine-tuning and distillation forVision LLMslike Nova Lite viaBedrockandSageMaker. Translation: better doc parsing—think messy tax forms, receipts, invoices. Developers get two tuning paths:PEFTor full fine-tune. Then choose how to ship:on-demand inference (ODI)orProvisioned Through..

Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference
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@kala shared a link, 10 hours ago
FAUN.dev

What Significance Testing is, Why it matters, Various Types and Interpreting the p-Value

Significance testing determines if observed differences are meaningful by calculating the likelihood of results happening by chance. The p-value indicates this likelihood, with values below 0.05 suggesting statistical significance. Different tests, such as t-tests, ANOVA, and chi-square, help analyz..

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@devopslinks shared a link, 10 hours ago
FAUN.dev

A FinOps Guide to Comparing Containers and Serverless Functions for Compute

AWS dropped a new cost-performance playbook pittingAmazon ECSagainstAWS Lambda. It's not just a tech choice - it’s a workload strategy. Go containers when you’ve got steady traffic, high CPU or memory needs, or sticky app state. Go serverless for spiky, event-driven bursts that don’t need a long lea..

A FinOps Guide to Comparing Containers and Serverless Functions for Compute
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@devopslinks shared a link, 10 hours ago
FAUN.dev

Why GPUs accelerate AI learning: The power of parallel math

Modern AI eats GPUs for breakfast - training, inference, all of it. Matrix ops? Parallel everything. Models like LLaMA don’t blink without a gang of H100s working overtime...

Why GPUs accelerate AI learning: The power of parallel math
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@devopslinks shared a link, 10 hours ago
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Jump Starting Quantum Computing on Azure

Microsoft just pulled off full-stack quantum teleportation withAzure Quantum, wiring up Qiskit and Quantinuum’s simulator in the process. Entanglement? Check. Hadamard and CNOT gates set the stage. Classical control logic wrangles the flow. Validation lands cleanly on the backend...

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@devopslinks shared a link, 10 hours ago
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How and Why Netflix Built a Real-Time Distributed Graph -  Ingesting and Processing Data Streams at Internet Scale

Netflix built a Real-Time Distributed Graph (RDG) to connect member interactions across different devices instantly. Using Apache Flink and Kafka, they process up to1 millionmessages per second for node and edge updates. Scaling Flink jobs individually reduced operational headaches and allowed for s..

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@devopslinks shared a link, 10 hours ago
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What is autonomous validation? The future of CI/CD in the AI era

CircleCI droppedautonomous validation, a smarter CI/CD that thinks on its feet. It scans your code, predicts breakage, runs only the tests that matter - and fixes the easy stuff on its own. If things get messy, it hands off full context so you’re not digging through logs. Bonus: it keeps learning fr..

What is autonomous validation? The future of CI/CD in the AI era
News FAUN.dev() Team
@kala shared an update, 11 hours ago
FAUN.dev

FSF Talks GPL Compliance and AI Code at GNU Cauldron

The FSF's Licensing and Compliance Lab engaged with GNU toolchain maintainers at GNU Cauldron to discuss GPL compliance, AI-generated code, and attribution in containerized environments.

FSF Talks GPL Compliance and AI Code at GNU Cauldron
News FAUN.dev() Team
@varbear shared an update, 12 hours ago
FAUN.dev

Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions

Arkade introduces a new protocol to enhance Bitcoin's global financial capabilities by enabling offchain payments and transaction batching, inviting developers to explore its public beta.

Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions
News FAUN.dev() Team
@kala shared an update, 13 hours ago
FAUN.dev

Anthropic Scales Up Google Cloud TPUs to Power Next-Gen AI Research

Google Kubernetes Engine (GKE)

Anthropic plans a major expansion of its Google Cloud TPU usage to enhance AI research and development, driven by increasing customer demand and valued at tens of billions of dollars.

Anthropic Scales Up Google Cloud TPUs to Power Next-Gen AI Research