The author discusses the challenges faced in creating the AI, particularly in maintaining consistency and tracking plot threads. The AI often generated duplicated scenes or scenes unrelated to the plot. The author also highlights the importance of context size, which is the combined count of how many words the AI can be given and how many it can generate. Managing context length was a significant challenge, as it involved simplifying input to gain space for more information. The author concludes by stating that storytelling is a demanding application of AI, requiring the handling of many complex tasks simultaneously.
Key takeaways:
- The author created an autonomous space opera generator called On Screen! that can generate a 10-15 minute episode based on a given topic.
- Large Language Models (LLMs) are good at formulaic output but struggle with inspired, creative output, which can lead to poor storytelling if not carefully managed.
- Context size, or the combined count of input and output words, is a significant factor impacting the architecture of LLM-based systems and can affect the quality and detail of the generated content.
- The author plans to discuss different prompting and memory strategies, what worked and what didn't, and some of the tools built in the next part of the series.