AI Engineering Insights: Page 2
From PoC to Production: An Honest Engineering Timeline
One of the most frequent conversations we have with new clients starts the same way: "We have a work...
Securing AI Applications: The Threat Model You Haven't Thought About
Enterprise teams investing in AI security are mostly focused on the wrong things. Compliance checkli...
Fine-Tuning Llama 3 with QLoRA: A Practical Guide
QLoRA (Quantized Low-Rank Adaptation) changed the economics of LLM fine-tuning. Before QLoRA, fine-t...
Designing AI-Powered APIs: Patterns and Pitfalls
Building an API that wraps an AI model sounds straightforward — take input, call model, return outpu...
Building a Multi-Agent AI System That Actually Works in Production
The demos for multi-agent AI frameworks look incredible. Autonomous agents planning, executing, and ...
GPU Inference on a Budget: Optimizing Costs for Self-Hosted Models
Once your AI application reaches sufficient scale, the math on self-hosted model inference often sta...