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Master AI tools with step-by-step guides. From beginner to advanced.
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Master AI tools with step-by-step guides. From beginner to advanced.
Master AI tools with step-by-step guides. From beginner to advanced.
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.
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.
Everything you need to use Grok, xAI’s assistant built into X: the model lineup (Grok 4.7, Grok 4.3 and grok-build), 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.
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 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.