AI Resources, Guides and Explainers
AI is moving fast. This hub collects plain-English guides on large language models, agents, RAG, prompt engineering, and the practical side of building with AI — written for developers who need to ship, not just theorize.
393 articles · Updated June 25, 2026
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From Explain
Plain-English explainers for core concepts related to this topic.
What is OpenClaw?
OpenClaw (fka ClawdBot / MoltBot) is an open-source AI assistant you text via WhatsApp, Telegram, Discord, or iMessage — it automates tasks, remembers context, and can message you first with reminders and briefings.
Read guideWhat are Tiny LLMs?
Tiny LLMs are compact language models designed for efficiency, enabling AI to run on edge devices and with limited resources while maintaining strong performance.
Read guideWhat is Conditional Computation?
Conditional computation is a neural network technique where only relevant parts of the model are activated for each input, enabling efficient scaling and resource use.
Read guideWhat is Sparse Activation?
Sparse activation is a neural network technique where only a subset of neurons are active for each input, enabling efficient scaling of large models like Mixture of Experts.
Read guideWhat is Quantization?
Quantization is a technique for making AI models smaller and faster by reducing the precision of their weights and activations, enabling efficient deployment on edge devices.
Read guideWhat is Model Pruning?
Model pruning is a technique for making neural networks smaller and faster by removing unnecessary weights or neurons, enabling efficient deployment on edge devices.
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What AI topics does In Plain English cover?▾
We cover LLMs, AI agents, retrieval-augmented generation, prompt engineering, model context protocol, and practical tutorials for integrating AI into applications.
