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BentoML: Packaging and Deploying AI/ML Models as Production-Ready REST APIs on Linux

By admin June 29, 2026

BentoML is an ML serving framework that packages AI/ML models into production-ready REST APIs on Linux, with model versioning, adaptive batching, and automatic Docker export. This article compares Flask/FastAPI, TorchServe, and Triton, then walks through deploying BentoML from training to production using systemd and Docker.

Haystack 2.0: Building Document Processing Pipelines with Document Indexing, Hybrid Retrieval, and Smart Q&A

By admin June 29, 2026

Haystack 2.0 lets you build AI document processing pipelines as directed graphs: each component connected explicitly, making them easy to debug and extend. This guide walks through document indexing, hybrid retrieval combining BM25 and embeddings, and a production-ready Q&A pipeline in Python.

Database

Getting Started with ChromaDB: The Open-Source Vector Database for Building AI Agent Knowledge Systems

By admin June 13, 2026

ChromaDB is an open-source vector database for semantic storage and search — lightweight enough to run locally, powerful enough to serve as the foundation for RAG systems and AI Agents. This guide walks through installation, document indexing, semantic search queries, and Docker deployment with practical, step-by-step examples.

Fedora

Setting Up Fedora for Machine Learning: Installing CUDA, PyTorch, and ‘Surviving’ on Wayland

By admin May 23, 2026

A detailed guide on setting up Fedora Workstation for Machine Learning. Install NVIDIA drivers via RPM Fusion, configure CUDA Toolkit, and optimize PyTorch on Wayland without system errors.

Ultra-fast LLM Fine-tuning with Unsloth: 90% VRAM Reduction, Run Llama 3 on Budget GPUs

By admin April 19, 2026

Fine-tune Llama 3 8B with just 6.5GB VRAM? A detailed guide on using Unsloth to triple LLM training speed and maximize hardware cost savings for developers.

NanoBot Installation Guide – The Ultralight OpenClaw Version with Only 4000 Lines of Code for Production Environments

By admin March 24, 2026

This article provides a detailed guide on installing and configuring NanoBot – an ultralight version of OpenClaw with only 4000 lines of code. It's an ideal solution for deploying efficient AI applications on resource-limited systems, based on practical experience from production environments.

Building Multi-Agent AI Systems with CrewAI: Assigning and Orchestrating Multiple AI Agents in Python

By admin March 18, 2026

Solving complex software development tasks often requires diverse skills. CrewAI offers a powerful solution for creating and managing specialized AI agents, allowing them to work together as a professional team, automate workflows, and significantly enhance performance.

How to Use Google Gemini API with Python: Efficient Implementation from Basics to Production

By admin March 14, 2026

Discover how to integrate the Google Gemini API with Python, from basic to advanced. This article provides detailed guides, practical code examples, and effective production deployment insights.

Qdrant Installation and Usage Guide: A Powerful Vector Database for AI and RAG Applications

By admin March 10, 2026

This article provides a detailed guide on how to install and use Qdrant, a powerful vector database, to build effective AI and RAG applications. I share practical experience after more than 6 months of deploying Qdrant in a production environment, analyzing its pros and cons, and providing sample Python code to help you get started immediately.

How to Install ComfyUI for Local AI Image Generation

By admin March 2, 2026

A practical guide to installing ComfyUI locally for AI image generation with Stable Diffusion — covering GPU setup, model downloads, configuration, and real-world monitoring. Drawn from 8 months of hands-on use.