AI Guides
Master AI tools with step-by-step guides. From beginner to advanced.
Best Open-Source LLMs in 2026: The Models and How to Run Them
A plain-English map of the open-weight LLM landscape in 2026: the current leaders (GLM-5.2, DeepSeek V4, Qwen, Kimi K2.6, Llama 4 Scout), what "open weight" really means versus open source, the three ways to run an open model, and how to choose one for your task, hardware, and license.
DeepSeek V4: The Complete Guide to the Open-Weight Frontier Model
How to use DeepSeek V4, the open-weight (MIT) mixture-of-experts model: the V4 Pro and V4 Flash lineup, the three ways to run it (chat, API, or self-hosted), what it costs, the OpenAI- and Anthropic-compatible API, and when to pick it over the closed frontier labs.
Grok by xAI: The Complete Guide to Models, Features, and the API
Everything you need to use Grok, xAI’s assistant built into X: the model lineup (Grok 4.3, 4.1 Fast, and Grok 4 Heavy), the three ways to access it, the real-time-X features that set it apart, and how to call the OpenAI- and Anthropic-compatible API.
How to Work With AI Effectively: A Practical Guide to Prompts, Memory, and Token-Efficient Conversations
The gap between a mediocre AI answer and a great one usually comes down to how you drive the conversation, not which model you picked. This guide covers the four levers that matter most: how to phrase requests so the model can’t misread them, how to control its “memory,” when to start a fresh conversation, and how to get the best result while spending the fewest tokens.
Perplexity: The Answer Engine That Replaced Google Searches for AI Users
Perplexity hit ~45M monthly active users by mid-2026 and became the default AI search tool. This guide covers Pro features, Spaces, the Comet browser, and how to switch from Google for daily research.