The Geometry of Thought: Understanding LLM Dimensions

Описание: What if thoughts had shape? What if intelligence lived inside a space of pure mathematics?

In “The Geometry of Thought: Understanding LLM Dimensions”, we break down one of the most fascinating ideas behind modern AI — how Large Language Models (LLMs) think in high-dimensional vector spaces.

This video explores:
• What “dimensions” actually mean in AI
• How words become vectors
• Why embeddings capture meaning
• How similarity is measured geometrically
• And how models like GPT navigate this invisible space to generate human-like responses

Whether you're a developer, AI enthusiast, student, or just curious about how ChatGPT really works, this video will give you an intuitive and visual understanding of the math behind modern language models — without heavy equations.

By the end, you won’t just see AI as code — you’ll see it as geometry in motion.

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💬 Drop your questions in the comments — let’s explore the space together.


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