Event-Driven ML Architectures: Kafka and Serverless Patterns
You've got real-time data streaming in. You need predictions happening _now_, not in nightly batch jobs.
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MLOps & Infrastructure
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524 articles
MLOps & Infrastructure
Python for AI & Data Science
Model Evaluation, Debugging, and Interpretability
Go beyond accuracy metrics to truly understand your deep learning models -- with confusion matrices, gradient-based interpretability, systematic debugging workflows, and tools for building trust in model predictions.
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ML Configuration Management: Hydra, OmegaConf, and Beyond
You're staring at a spreadsheet with 47 different hyperparameter combinations. Your colleague asks, "Which config produced that 94.
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Claude Styles and Personalities: Customizing AI Behavior
Styles let you dial in Claude's tone, length, and formatting once and have it apply automatically to every conversation - here's how to use built-in styles, create custom ones from writing samples, and layer them with system prompts for full control.
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Training at Scale: GPU Computing, Mixed Precision, and Distributed Training
Squeeze maximum performance from your GPU training with mixed precision, gradient checkpointing, distributed data parallelism, and torch.compile -- practical techniques that deliver 2-4x speedups on existing hardware.
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Infrastructure as Code for ML – Terraform and Pulumi Patterns
You've built an amazing ML model. Now comes the hard part - deploying it at scale without losing your mind to manual infrastructure management.
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Building a Worktree Manager Script for Claude Code
You've got worktrees set up, but now you're managing them manually. You create a worktree with a cryptic name like wt-a3f9e2, forget what it's for, switch to it three months later expecting it to...
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Natural Language Processing with Transformers and Hugging Face
Explore the transformer architecture that revolutionized NLP, understand BERT vs GPT, and learn to fine-tune pretrained models for text classification using the Hugging Face ecosystem.
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n8n AI Cost Optimization: Token Management and Model Routing
Running LLMs in n8n without a cost strategy is how you wake up to a five-figure cloud bill. This guide covers a layered approach - from upstream filtering to intelligent model routing - that can reduce your AI spend by 5x to 50x.
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GPU Cost Optimization: Right-Sizing for ML Workloads
Your GPU bill just landed. That $15,000 monthly charge for your fine-tuning cluster - half those GPUs are sitting idle.
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