In this episode, we will cover:
 - Introduction to Encoder-Decoder Mechanisms
 
 - Basics of Neural Machine Translation
 
  - Deep Dive into the Encoder-Decoder Model 
 
  - The Power of Attention in Neural Networks 
 
  - Recent Advancements in Encoder-Decoder Mechanisms
 
  - Practical Applications of Encoder-Decoder Models
 
  - Beyond Transformers: Other Mechanisms
 
  - Training and Fine-tuning Explained
 
  - Inference in Encoder-Decoder Mechanisms
 
  - Training Models with Attention
 
  - Conclusion and Future Forecasts (5 minutes)