MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
AI Agent Evaluation Frameworks: Ragas, TruLens, and Phoenix
Evaluating LLM outputs is notoriously difficult. Learn how to use automated evaluation frameworks to measure RAG faithfulness, answer relevance, and context precision.
Feature Engineering for Machine Learning: From Raw Data to Model-Ready Features
Feature engineering is the most impactful step in the ML pipeline. Learn how to handle missing data, encode categoricals, create interaction features, and use automated feature selection.
Building a Full-Stack AI Writing Assistant with Flask and OpenAI
Build a production-ready AI writing assistant that generates, refines, and SEO-optimizes content. This end-to-end guide covers Flask backend, streaming responses, and a clean JavaScript frontend.
Fine-Tuning LLMs with LoRA: A Practical Guide
Low-Rank Adaptation (LoRA) lets you fine-tune large language models efficiently with minimal GPU memory. Learn how to apply LoRA to domain-specific AI tasks step by step.