Embeddings - EXPLAINED!
![](https://i.ytimg.com/vi/QHS9ZZBdK-g/mqdefault.jpg)
16:22
Transfer Learning - EXPLAINED!
![](https://i.ytimg.com/vi/WLmsncGSjJ8/mqdefault.jpg)
30:00
RAG - Explained!
![](https://i.ytimg.com/vi/keq-e9EmC2M/mqdefault.jpg)
28:37
Perceptrón - ¡Explicado!
![](https://i.ytimg.com/vi/Ei4bxB6yy-8/mqdefault.jpg)
17:48
Generative AI Simplified - tokens, embeddings, vectors and similarity search
![](https://i.ytimg.com/vi/5MaWmXwxFNQ/mqdefault.jpg)
17:17
A Complete Overview of Word Embeddings
![](https://i.ytimg.com/vi/p8keh8fsYT0/mqdefault.jpg)
17:00
Batch Normalization in neural networks - EXPLAINED!
![](https://i.ytimg.com/vi/9-Jl0dxWQs8/mqdefault.jpg)
22:43
How might LLMs store facts | DL7
![](https://i.ytimg.com/vi/hiqtAFWv_hA/mqdefault.jpg)
24:59