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Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber: A Cheaper, More Token-Efficient Flash Tier Built for Agentic Workloads
Developers building production agents need higher token efficiency, lower latency, and more reliable performance. Today, Google has released three new Gemini models. The lineup is…
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3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Developers and customers building production AI agents need higher token efficiency, lower…
Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis
In this tutorial, we explore NVIDIA’s srt-slurm framework and learn how we…
I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked
model sounds expensive, fragile, and hard to verify. I wanted a smaller…
Environment-free Synthetic Data Generation for API-Calling Agents
Training API-calling large language model (LLM) agents demands massive amounts of high-quality…
How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation
spend much of their time working with tabular data. Traditionally, these workloads…
Are Your ML Experiments a Mess? Here’s the Fix
a new model. You get decent baseline results with a simple model,…
Meta Open-Sources Astryx: An Agent-Ready React Design System With 150+ Accessible Components, Seven Themes, and a CLI
Meta has released Astryx, an open source design system that is fully…
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