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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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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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@kala shared a link, 2 weeks, 1 day ago
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Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

Generative recommender systems need more than just observed user behavior to make accurate recommendations. Introducing A-SFT algorithm improves alignment between pre-trained models and reward models for more effective post-training...

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@devopslinks shared a link, 2 weeks, 1 day ago
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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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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
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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, 2 weeks, 1 day 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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@kala shared an update, 2 weeks, 1 day ago
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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
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@varbear shared an update, 2 weeks, 1 day ago
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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
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@kala shared an update, 2 weeks, 1 day ago
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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
IncusOS, released is a lightweight Linux distribution built on Debian 13 with a focus on security, reliability, and reproducibility. It implements atomic A/B updates for safe rollbacks, UEFI Secure Boot, TPM 2.0 integration, and full-disk encryption to ensure a trusted boot process and data protection.

The system departs from traditional management models by eliminating shell access entirely. Administration occurs exclusively through authenticated APIs using TLS client certificates or OIDC. This design enforces consistency and limits attack surfaces across server fleets and virtualized environments.

IncusOS supports an online image customizer and a fully automated installation process, applying configuration at first boot. Hardware requirements align with modern systems such as Windows 11. Future updates will deliver new kernel versions, expanded configuration options, and integrations with tools like Linstor and Netbird.

By standardizing deployment and management through uniform images, IncusOS simplifies auditing, maintenance, and support for organizations operating large or distributed infrastructures.