AI tutorial - IT technology blog

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

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.
AI tutorial - IT technology blog

Building AI Recommendation Systems: From Basics to Production Deployment

Learn to build AI recommendation systems from the ground up. This tutorial covers core algorithms like collaborative filtering and content-based methods, then dives into advanced usage with hybrid models and deep learning. Finally, it provides practical tips for deploying and maintaining recommendation systems in production environments.
AI tutorial - IT technology blog

Fine-Tuning LLMs for Production: When and How to Master It

When your LLM struggles with specific domain knowledge or consistent output in production, fine-tuning might be the most effective solution. This article explores when and how to apply fine-tuning, focusing on practical steps and modern, efficient techniques like LoRA, to achieve stable and precise results for your AI applications.
AI tutorial - IT technology blog

Prompt Engineering 101: How to Write Effective Prompts That Actually Work

A seven-word system prompt brought down our AI support bot at 3 AM — and the model was working perfectly. This guide covers the prompt engineering fundamentals that prevent production failures: role assignment, output format specification, few-shot examples, chain-of-thought reasoning, and how to build a proper test suite for your prompts.