How to Build an LLM Evaluation Framework for Production
How to build an LLM evaluation framework: golden datasets, offline and online evaluation, LLM-as-judge, release gates and production feedback loops.
AI Engineering Insights: Page 2
How to Reduce LLM Inference Costs Without Losing Quality
A playbook for reducing LLM inference costs: per-workflow cost profiling, quality-aware routing, semantic caching, prompt compression and infrastructure.
From PoC to Production: An Honest Engineering Timeline
An honest breakdown of why AI proof-of-concept projects take longer than expected to reach production, and how to plan realistically.
Securing AI Applications: The Threat Model You Haven't Thought About
Learn how to threat model AI applications and address prompt injection, data leakage, insecure tools, and model-specific attack paths.
Fine-Tuning Llama 3 with QLoRA: A Practical Guide
A practical guide to fine-tuning Llama 3 with QLoRA, covering data preparation, training trade-offs, and production deployment considerations.
Designing AI-Powered APIs: Patterns and Pitfalls
Learn practical patterns for building reliable AI-powered APIs, from streaming responses and validation to observability and cost control.