Knowledge Base
Explore latest tutorials, guides, and articles about AI.
Running AI on Consumer Hardware
What you need to run AI models locally, from laptops to gaming PCs, and how to get the best performance from your hardware.
Read ArticleInference Optimization Techniques
The various techniques used to make AI models run faster, including batching, kernel fusion, and speculative decoding.
Read ArticleMatrix Multiplications and GPU Compute
Why matrix multiplication is the fundamental operation of AI, and how GPUs are purpose-built to do it extremely fast.
Read ArticleFine-Tuning vs LoRA
The difference between full fine-tuning and LoRA adapters, and when to use each approach.
Read ArticleDiffusion Models Explained
How diffusion models create images from noise, and why they are the technology behind modern AI image generation.
Read ArticleEmbeddings and Vector Representations
How AI converts meaning into numbers, and why embeddings are the foundation of search, recommendations, and RAG.
Read ArticleRetrieval Augmented Generation (RAG)
How RAG combines search with language models to give AI access to external knowledge without retraining.
Read ArticleHallucinations in AI
Why AI models make things up, when it happens, and how to detect and reduce hallucinations in practice.
Read ArticlePrompt Engineering Basics
How to craft effective prompts that get better results from AI models, with practical techniques anyone can use.
Read ArticleAgentic Programming
How AI agents work, what makes them different from simple chatbots, and how to build systems that act autonomously.
Read ArticleMCP Servers Explained
What the Model Context Protocol is, how MCP servers connect AI to external tools and data sources.
Read ArticleCLI Tools for AI
The essential command line tools for running AI locally, including Ollama, llama.cpp, and text generation web UI.
Read ArticleAI Benchmarks and Evaluation
How AI models are measured and compared, and what benchmarks actually tell us about model performance.
Read ArticleIntelligence vs Cost Per Token
The relationship between model capability, cost, and efficiency, and how to get the best value from AI.
Read ArticleMost Efficient AI Models
The models that offer the best performance for their size and cost, and why efficiency matters as much as capability.
Read ArticleRunning 4B Models Offline
How small 4 billion parameter models can run on phones and laptops, bringing AI capabilities anywhere without internet.
Read ArticleNew Techniques in AI
The latest innovations in AI architecture and training, including multi-head attention, MoE improvements, and more.
Read ArticleSpeculative Decoding
How speculative decoding uses a small model to speed up a large model, achieving 2x to 3x faster generation.
Read ArticleAI Hardware Trends
The latest developments in AI hardware, from new GPU architectures to specialized AI accelerators.
Read ArticlePrivacy and Local AI
Why running AI locally is the best way to protect your privacy, and how to set up a private AI system.
Read ArticleOpen Weights Models Comparison
A practical comparison of the major open weight models, helping you choose the right one for your needs.
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