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Building a Natural Language Interface for Apache Pinot with LLM Agents

MiQ plugged **Google’s Agent Development Kit** into their stack to spin up **LLM agents** that turn plain English into clean, validated SQL. These agents speak directly to **Apache Pinot**, firing off real-time queries without the usual parsing pain. Behind the scenes, it’s a slick handoff: NL2SQL .. read more  

Building a Natural Language Interface for Apache Pinot with LLM Agents
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Jupyter Agents: training LLMs to reason with notebooks

Hugging Face dropped an open pipeline and dataset for training small models—think **Qwen3-4B**—into sharp **Jupyter-native data science agents**. They pulled curated Kaggle notebooks, whipped up synthetic QA pairs, added lightweight **scaffolding**, and went full fine-tune. Net result? A **36% jump .. read more  

Jupyter Agents: training LLMs to reason with notebooks
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Becoming a Research Engineer at a Big LLM Lab - 18 Months of Strategic Career Development

To land a big career role like Mistral, mix efficient **tactical** moves (like LeetCode practice) with **strategic** ups, like building a powerful portfolio and a solid network. Balance is key; aim to impress and prepare well without overlooking the power of strategy in shaping a successful career... read more  

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Implementing Vector Search from Scratch: A Step-by-Step Tutorial

Search is a fundamental problem in computing, and vector search aims to match meanings rather than exact words. By converting queries and documents into numerical vectors and calculating similarity, vector search retrieves contextually relevant results. In this tutorial, a vector search system is bu.. read more  

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5 Free AI Courses from Hugging Face

Hugging Face just rolled out a sharp set of free AI courses. Real topics, real tools—think **AI agents, LLMs, diffusion models, deep RL**, and more. It’s hands-on from the jump, packed with frameworks like LangGraph, Diffusers, and Stable Baselines3. You don’t just read about models—you build ‘em i.. read more  

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Inside NVIDIA GPUs: Anatomy of high performance matmul kernels

NVIDIA Hopper packs serious architectural tricks. At the core: **Tensor Memory Accelerator (TMA)**, **tensor cores**, and **swizzling**—the trio behind async, cache-friendly matmul kernels that flirt with peak throughput. But folks aren't stopping at cuBLAS. They're stacking new tactics: **warp-gro.. read more  

Inside NVIDIA GPUs: Anatomy of high performance matmul kernels
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Shai-Hulud npm Supply Chain Attack

Malicious npm packages just leveled up: this one dropped a self-spreading worm that hijacks repos and leaks secrets the moment it lands. It abuses `postinstall` scripts to run TruffleHog and swipe tokens straight from your codebase. Then it uses GitHub Actions to exfiltrate the loot and auto-publis.. read more  

Shai-Hulud npm Supply Chain Attack
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Top 30 Argo CD Anti-Patterns to Avoid When Adopting Gitops

A teardown of Argo CD anti-patterns calls out 28 common misfires—stuff like skipping Git for Application CRDs or stuffing Helm/Kustomize config right into Argo CD manifests. Yikes. It pushes for a cleaner setup: use **ApplicationSets** instead of rolling your own YAML, turn on **auto-sync/self-heal.. read more  

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Demystifying Log Retention in Azure

Azure logs come in three flavors: **Activity Logs**, **Diagnostic Logs**, and **Log Analytics**. Each with its own rules for retention and billing. The catch? Those differences aren’t quirks—they’re baked in... read more  

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How FinOps Drives Value for Every Engineering Dollar

Duolingo’s FinOps crew didn’t just track cloud costs—they wired up sharp, automated observability across 100+ microservices. Real-time alerts now catch AI and infra spend spikes before they torch the budget. They sliced TTS costs by 40% with in-memory caching. Dumped pricey CloudWatch metrics for P.. read more  

How FinOps Drives Value for Every Engineering Dollar

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