AI Explained: What Does the Number of Parameters in an LLM Mean?
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Welcome to the *AI Explained* series, where I break down the basics of artificial intelligence for you. In this episode, we'll dive into why the number of parameters is so crucial in large language models. You'll discover how neural networks are constructed, what the transformer architecture entails, and why the paper "Attention is All You Need" was a game-changer. Plus, we'll try to compare the parameters in a large language model to the complexity of the human brain. 00:00 - Introduction to Large Language Models 00:14 - Understanding Neural Networks 00:32 - Components of a Neural Network 01:13 - Example of a Simple Neural Network 02:28 - Scaling Up Neural Networks: Parameters and Layers 03:37 - Large Language Models and Transformer Architecture 04:25 - Comparing AI Models to Biological Brains 05:02 - Final Thoughts: Complexity of AI Models #AIExplained #NeuralNetworkParameters #LLM #LargeLanguageModels #Transformers #GPT #AttentionIsAllYouNeed
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