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Tutorials

Tutorials

Hands-on deployment guides for AI frameworks, tools, and pipelines on dedicated GPU servers. Set up PyTorch, TensorFlow, vLLM, and more from scratch — full root access on bare metal.

Tutorials May 2026

vLLM PagedAttention Explained

PagedAttention is the algorithm that makes vLLM's KV cache management efficient. The intuition, the implementation, the impact.

Tutorials May 2026

vLLM Multi-LoRA Deployment

vLLM's native multi-LoRA support — serve many fine-tuned variants from one base model. The right deployment for SaaS multi-tenancy.

Tutorials May 2026

Structured Output vs Prompting

Two ways to get JSON / structured output from an LLM: prompt engineering vs constrained decoding. Constrained decoding wins.

Tutorials May 2026

RAG Eval Metrics Explained

The metrics that matter for RAG quality — recall@K, MRR, NDCG, faithfulness, answer relevance. The reference guide.

Tutorials May 2026

Model Warm-up and Cold Start Patterns

Cold-start latency on LLM serving — what causes it, how to mitigate, when it matters.

Tutorials May 2026

Prompt Template Versioning in Production

Production prompt management — version control, A/B testing, rollout patterns. Treat prompts like code.

Tutorials May 2026

Embedding Model Retraining Cadence

When to re-embed your corpus with a new embedding model — drift detection, quality benchmarks, cost.

Tutorials May 2026

AI Feature Flag Rollout Best Practices

Feature flagging for AI features — rolling out new prompts, models, retrieval changes safely. Patterns that work.

Tutorials May 2026

Fine-Tune LoRA on RTX 5060 Ti 16GB – Guide

A step-by-step LoRA fine-tune on Llama 3 8B with Unsloth, PEFT and TRL - config, code and wall-clock times.

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