Description

In this episode, we will cover:

1. Introduction to Encoder-Decoder Mechanisms
2. Basics of Neural Machine Translation
3. Deep Dive into the Encoder-Decoder Model
4. The Power of Attention in Neural Networks
5. Recent Advancements in Encoder-Decoder Mechanisms
6. Practical Applications of Encoder-Decoder Models
7. Beyond Transformers: Other Mechanisms
8. Training and Fine-tuning Explained
9. Inference in Encoder-Decoder Mechanisms
10. Training Models with Attention
11. Conclusion and Future Forecasts (5 minutes)