llama.cpp Tutorial: Run Large Language Models on Your CPU (2026)

Step-by-step llama.cpp tutorial — build from source, quantize models, run LLMs on CPU or GPU, and understand GGUF quantization for optimal performance.

Run LLMs Locally with Ollama: Complete Setup Guide (2026)

Step-by-step guide to running LLMs locally with Ollama. Install, configure, and run models on your own hardware in minutes — no API keys, no cloud dependency.

Best Local LLM Tools Compared (2026): Ollama vs LM Studio vs Jan and More

Compare the best local LLM tools in 2026 — Ollama, LM Studio, Jan, vLLM, MLX, llama.cpp, and LocalAI. Find out which one fits your actual workflow.

Best Hardware for Edge AI and TinyML Projects (2026)

Find the right board for edge AI and TinyML. Compare Seeed XIAO, Arduino Nano 33, Coral USB, Raspberry Pi 5, and Jetson for classification, vision, and generative tasks.

Edge AI for Beginners: Running Machine Learning on Small Devices (2026)

Learn edge AI and TinyML from scratch. Understand quantization, TFLM, Edge Impulse, and how to deploy ML models on microcontrollers and single-board computers.

Best Robotics Kits for RL Experimentation: Arduino vs Raspberry Pi (2026)

Compare Arduino and Raspberry Pi for RL experimentation. Find the right robotics kit for testing trained policies on real hardware, from budget ELEGOO to Pi 5.

Best GPU Setups for Training RL Agents (2026)

Find the right GPU for RL training. Compare consumer cards, cloud rentals, and hardware tiers for CartPole, Atari, MuJoCo, and vision-based RL projects.

Genetic Algorithms vs Reinforcement Learning for Game AI (2026)

Compare genetic algorithms and reinforcement learning for game AI. Learn how NEAT evolves network structure, where GAs match DQN on Atari, and when to use each approach.

Training a Racing Car AI with Deep Reinforcement Learning (2026)

Train a racing car AI using PPO and CNNs in CarRacing-v3. Learn visual preprocessing, reward shaping, and how to avoid common racing RL pitfalls.

Sim-to-Real Transfer: Moving RL from Simulation to Real Robots (2026)

Master sim-to-real transfer for robotics RL. Learn domain randomization, DROPO, the reality gap, and a practical pre-deployment checklist for moving policies to real hardware.