MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
AI Agents and Tool Use: Building Autonomous Workflows with LangGraph
LangGraph enables stateful, multi-step AI agent workflows with cyclic graphs. Learn how to build reliable autonomous agents that use tools, handle errors, and maintain state.
Ethical AI: Bias Detection, Fairness Metrics, and Responsible ML Deployment
AI systems can perpetuate and amplify societal biases. Learn how to audit models for bias, apply fairness constraints during training, and build responsible AI governance frameworks.
Prompt Engineering: Advanced Techniques for Production LLM Applications
Prompt engineering is the art of communicating with LLMs effectively. Learn chain-of-thought prompting, few-shot examples, structured output, and prompt injection prevention for production systems.
Self-Attention vs. State Space Models (Mamba): The Battle for Sequence Modeling
Transformers struggle with O(N^2) context scaling. Discover how State Space Models (SSMs) like Mamba offer linear O(N) scaling for long context windows.
Building Production RAG Pipelines with LangChain and PostgreSQL pgvector
How to build Retrieval-Augmented Generation (RAG) systems that ground LLM responses in private documents using LangChain orchestration and PostgreSQL's pgvector extension.
Quantization Techniques for LLMs: FP16 to INT4 and GPTQ
Deploying LLMs on local hardware requires massive memory footprint reductions. Learn how post-training quantization techniques like GPTQ and GGUF compress models from FP16 to INT4.