Enhancing context recall in Generative AI for story continuation involves methods like extending context windows, using recurrent memory mechanisms, or employing retrieval-augmented generation to incorporate relevant past details.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Contextual Prompting: Incorporates a detailed story context for better continuity.
- Repetition Penalty: Mitigates redundancy in story progression.
- Max Length: Allows the model to generate a longer output for deeper recall.
Hence, techniques like detailed prompting and repetition handling can significantly enhance context retention in story generation, leading to coherent and engaging continuations.