A practical look at building a ticket classification system using Python FastAPI and LLMs. Includes real-world cost analysis, code examples, and 6 months of production insights.
Learn how to integrate AI-powered code reviews into your CI/CD pipeline using PR-Agent and GitHub Actions. This 6-month production review covers setup, logic bug detection, and advanced configuration tips.
LLM evaluation is the practice of systematically measuring whether your AI model's outputs are accurate, relevant, and safe — not just fast. This guide covers practical setup with DeepEval and RAGAS, CI/CD integration, and production monitoring strategies drawn from real deployment experience.
Stop hitting CUDA Out of Memory errors. This guide shows you how to use Unsloth and QLoRA to fine-tune Llama 3 on consumer GPUs with 70% less memory and 2x faster speeds.
A professional guide to installing the NVIDIA Container Toolkit on Ubuntu. Learn how to bridge the gap between host drivers and Docker containers to enable full GPU acceleration for AI workloads.
Tired of shallow AI answers? Discover how Microsoft GraphRAG uses knowledge graphs and the Leiden algorithm to help LLMs understand complex, interconnected datasets. This Python guide shows you how to set up and query a relationship-aware RAG system.
Ditch the fragile CSS selectors. Learn how to build resilient, AI-ready web scrapers using Crawl4AI and Python, based on six months of production data extraction experience.
Ditch the man pages. Learn how to use ShellGPT (sgpt) to generate Linux commands, summarize logs, and automate Docker tasks using AI directly in your terminal.