Backpropagation
3 videos across 3 channels
Backpropagation is the engine that trains neural networks, turning raw architectures into capable learners by passing error signals backward to adjust weights. From the early perceptron era to modern transformers and large language models, this algorithm, paired with gradient descent and reinforcement signals, explains how AI improves from data, scales with hardware like GPUs, and delivers practical behavior in tools we use today.
100 Years of Artificial Intelligence Explained
The video traces the 100-year arc of artificial intelligence, from early code-breaking and the birth of AI as a field, t
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How LLMs Work? | How Large Language Models Work | What Are LLMs? | LLMs Explained | Simplilearn
The video explains that large language models like ChatGPT work by predicting the next word using probabilistic patterns
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