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#interactive-guide

What are vector embeddings? An interactive guide

Reddit r/ArtificialInteligence ↗ · 2026-10-15 Cached

互动式指南讲解向量嵌入的历史、原理与实践应用,通过可视化展示语义空间、向量运算与语义相似性,并演示语义搜索、聚类、零样本分类等真实场景。文中使用 Kanon 2 Embedder 的真实嵌入构建了一个交互式词语地图游戏。

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#interactive-guide

Made an interactive explainer about speculative decoding/MTP

Reddit r/LocalLLaMA ↗ · 2026-06-26 Cached

An interactive guide explaining speculative decoding and multi-token prediction in LLMs, covering techniques from rejection sampling to MTP used in Qwen 3.6 and Gemma 4, with live diagrams and sliders.

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#interactive-guide

@GitHub_Daily: Want to understand how Large Language Models actually work? Existing resources are either too academic and hard to digest, or too superficial, focusing only on concepts, with nothing that clearly explains the entire process from start to finish. Similarly, I came across the 'how-llms-work' project, which turns the complete workflow of LLMs into a visual interactive webpage, based on Andrej Karpathy’s...

X AI KOLs Timeline ↗ · 2026-05-11 Cached

An interactive visual guide, 'how-llms-work', breaks down the entire lifecycle of Large Language Models based on Andrej Karpathy's lectures, covering data collection to post-training.

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