LLM Archives - Page 5 of 6

Stop Building Forgetful Bots: A Guide to Long-Term AI Memory with Mem0

May 3, 2026

AI agents shouldn't forget who you are. This guide shows you how to use Mem0 and Python to implement persistent long-term memory, allowing your bots to remember user preferences across sessions while reducing token costs.

Stop Burning Credits: LLM Cost Optimization with GPTCache and Redis

May 1, 2026

Reduce LLM API costs by 80% and cut latency from seconds to milliseconds. This guide explores implementing production-grade semantic caching using GPTCache and Redis.

How to Convert LLM Models to GGUF Format with llama.cpp Quantization

April 28, 2026

Running large language models locally requires shrinking their file size without destroying quality. This guide walks through the full llama.cpp pipeline: downloading a Hugging Face model, converting it to GGUF format, and quantizing it to Q4_K_M or other levels to fit consumer hardware.

From Chaos to Automation: Building a Production Ticket Tagging System with LLMs and FastAPI

April 19, 2026

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.

LLM Fine-tuning with Unsloth and QLoRA: Training Llama 3 on Consumer GPUs

April 18, 2026

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.

Beyond Vector Search: Building Knowledge Graphs with Microsoft GraphRAG and Python

April 15, 2026

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.

Building a Smart Web Scraper with Crawl4AI and Python: A 6-Month Production Review

April 15, 2026

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.

Extract and Process PDF Tables with Docling for RAG Systems

April 8, 2026

After 6 months of using Docling in production for PDF-heavy RAG systems, I share how to extract tables properly, chunk them intelligently, and index them for accurate retrieval. Covers quick start, pipeline setup, and hard-won practical tips.

AI-Powered Test Automation: Building Resilient Playwright Scripts with LLMs

April 7, 2026

Tired of fixing broken CSS selectors? Learn how to use GPT-4o and Playwright to build self-healing test suites that adapt to UI changes automatically.

AI Agents: What They Are & How to Build Your First Automated Workflow

March 24, 2026

AI agents are changing how we automate complex IT tasks, using large language models (LLMs) with specialized tools and advanced reasoning. This tutorial shows you how to build your first agent with Python and LangChain, covering environment setup, configuration, and key monitoring techniques.