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)