CUDA Programming - A Practical Guide for Software Engineers
A hands-on guide to CUDA programming for developers who know how to code but have never written a GPU kernel. Covers architecture, memory, real code examples, and Metal comparison.
Articles Tagged "Guide"
NVIDIA DGX Spark Setup and Usage Guide for 2026
A complete guide to setting up the NVIDIA DGX Spark - from unboxing and first boot to running LLM inference, fine-tuning models, and optimizing performance.
The Best AI Image Generation Models You Can Run on Your Own GPU in 2026
A comprehensive guide to the best image generation models that run locally on consumer GPUs with 16GB of VRAM, from FLUX and Stable Diffusion to video generation and upscaling.
A Developer's Guide to Finetuning and Distilling Language Models
A practical, hands-on guide for software developers who want to finetune open-source LLMs and distill larger models into smaller, faster ones - covering techniques, tools, datasets, and cloud GPU options.
How to Choose the Right LLM in 2026: A Practical Guide
A practical guide to choosing the right large language model in 2026, covering task types, budgets, context windows, and the open vs proprietary debate.
Understanding AI Benchmarks: What MMLU, GPQA, and Arena Elo Actually Mean
A plain-English guide to AI benchmarks like MMLU, GPQA, SWE-Bench, and Chatbot Arena Elo, explaining what they measure and why no single score tells the whole story.
Getting Started With AI Coding Assistants: A 2026 Beginner's Guide
A beginner's guide to AI coding assistants in 2026, covering GitHub Copilot, Cursor, Claude Code, and Aider with practical setup instructions and realistic expectations.
Open-Source vs Proprietary AI: Which Should You Use?
A comprehensive comparison of open-source and proprietary AI models, helping you decide when to use Llama, Qwen, or DeepSeek versus GPT-5, Claude, or Gemini.
What Are AI Agents? A Plain-English Explanation
A beginner-friendly explanation of AI agents, covering what makes them different from chatbots, real-world examples, key frameworks, and the growing agent economy.
How to Run an Open-Source LLM on Your Own Computer
A practical tutorial on running open-source language models locally using Ollama, llama.cpp, and LM Studio, with hardware requirements and model recommendations.
AI Image Generation: A Beginner's Guide to Creating Art With AI
A beginner's introduction to AI image generation covering Midjourney, DALL-E, Stable Diffusion, and FLUX, with practical prompt tips and ethical considerations.
Prompt Engineering Basics: How to Get Better Results From Any AI
Practical tips and techniques for writing better AI prompts, covering specificity, context, few-shot examples, personas, and common mistakes to avoid.
