The Geometry of Thought: Understanding LLM Dimensions скачать в хорошем качестве

The Geometry of Thought: Understanding LLM Dimensions

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. 🔔 Subscribe for more deep dives into AI, machine learning, system design, and the future of intelligence. 💬 Drop your questions in the comments — let’s explore the space together. #ArtificialIntelligence #MachineLearning #DeepLearning #LLM #LargeLanguageModels #GenerativeAI #AIExplained #AIForDevelopers #VectorEmbeddings #HighDimensionalSpace #NeuralNetworks #Transformers #AttentionMechanism #MathOfAI #GeometryOfThought #SoftwareEngineering #Coding #TechEducation #ComputerScience #AIResearch