Show HN: Skill capsules" for LLMs, a "poor man's continual learning" (github.com)

A new project titled "Skill Capsules" for large language models (LLMs) has emerged on Hacker News, introducing a novel approach to continual learning in AI. By leveraging these capsules, LLMs can acquire new skills without the need for extensive retraining, effectively offering a cost-effective and efficient solution for ongoing learning. This innovation addresses a significant limitation in existing LLMs, which often struggle to retain previously learned information while adapting to new tasks, a challenge known as catastrophic forgetting. The significance of Skill Capsules lies in their potential to enhance the adaptability and longevity of AI systems. With these capsules, users can easily add specific skills to an LLM, allowing it to perform diverse tasks dynamically. This approach could democratize access to powerful AI capabilities, enabling even smaller organizations to implement and benefit from advanced machine learning without incurring high development costs. As Skill Capsules continue to evolve, they could reshape how AI systems are deployed, making them more responsive and better suited for real-world applications. The implications for industries reliant on AI are profound, suggesting a future where intelligent systems are not only more capable but also continually improving in their operational efficacy.