Where is Knowledge Stored in AI ? Neural Networks, CNNs, Transformers & RL Explain
Автор: AI Depth School
Загружено: 2026-01-18
Просмотров: 33
Ever wondered where AI actually stores what it learns? In this comprehensive video, we explore how different AI architectures store knowledge:
🧠 Neural Networks - How knowledge is encoded in connection weights
📸 CNNs - Feature detection through learned kernel weights
💬 Transformers - Attention patterns and embedding spaces in LLMs
🎮 Reinforcement Learning - Policies and Q-values for decision making
We'll discover the universal truth that connects all AI: learning means adjusting numerical values to encode patterns. Whether it's a simple neural network or GPT-4 with trillions of parameters, they all store knowledge the same fundamental way.
Perfect for AI/ML engineers, students, and anyone curious about how artificial intelligence really works under the hood.
📚 Topics covered:
Weight-based learning in neural networks
Gradient descent and how weights learn
Convolutional kernels as feature detectors
Hierarchical feature learning in CNNs
Transformer attention mechanisms
Word embeddings and semantic spaces
LLM parameter scaling
RL policies and Q-learning
Deep reinforcement learning
#MachineLearning #DeepLearning #AI #NeuralNetworks
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