AI Archives - Page 2 of 14

Ditch the Subscription: Self-Host Perplexica for Private AI Search

July 14, 2026

Stop paying for AI search. Learn how to deploy Perplexica on Docker, integrate SearXNG, and connect local LLMs like Ollama for a completely private search experience.

Automated Red Teaming for LLMs with Giskard: Detecting Vulnerabilities and Bias

July 14, 2026

Learn how to automate Red Teaming for your LLM applications using Giskard. This guide covers detecting prompt injections, data leakage, and bias using automated adversarial testing to ensure your AI is production-ready.

Deploy MLflow on Docker: Track ML Experiments, Manage Model Registry in Real MLOps Pipelines

June 29, 2026

A hands-on guide to deploying MLflow on Docker Compose with PostgreSQL and MinIO, covering experiment tracking, model versioning, and Model Registry stage management for real MLOps pipelines. Built from the experience of a 2 AM production incident caused by missing model lineage.

Local AI Video Generation with CogVideoX and Wan2.1: Text-to-Video on Linux Without Cloud APIs

June 29, 2026

Running text-to-video AI locally eliminates cloud API costs and rate limits. This guide covers deploying CogVideoX and Wan2.1 on Linux with practical Python scripts for automated video batch production — no cloud API required.

Building a Multi-Agent AI System with Microsoft AutoGen v0.4: Orchestrate Specialized Agents for Data Analysis and Code Generation

June 28, 2026

Learn how to build a multi-agent AI system with Microsoft AutoGen v0.4 by creating a Planner, Data Analyst, and Code Reviewer agent that collaborate to automate data analysis workflows. This step-by-step guide covers installation, agent configuration, team setup, and monitoring — everything a junior developer needs to get started.

Machine Learning Directly in PostgreSQL: Train and Predict Using SQL

June 25, 2026

Stop moving data. Learn how to train and deploy XGBoost and Scikit-learn models directly inside PostgreSQL using PostgresML and standard SQL queries.

How to Deploy Arize Phoenix on Docker: Monitor and Debug LLM, RAG, and AI Agents in Real Time

June 24, 2026

Arize Phoenix is an open-source observability platform that gives you full trace visibility into every LLM call, RAG retrieval step, and AI agent action in real time. This guide walks you through deploying it with Docker and connecting your Python app to start monitoring prompts, completions, latency, and evaluation scores from day one.