LLMs are pretty good at making slideshows now (iter.ca)

Recent experiments with large language models (LLMs) have demonstrated significant improvements in their ability to create engaging slideshows. By employing strategies such as allowing agents to visualize slides, utilizing a text-based approach for updates, and encouraging creativity, users have found that LLMs can produce high-quality presentations more effectively. One standout is Anthropic's Claude Design, which employs a new library for creating unique slideshow formats directly from user notes, showcasing impressive design capabilities. This advancement in LLM technology is particularly impactful for professionals and educators, as it streamlines the presentation creation process. The integration of models like Claude with HTML for visual creativity represents a shift in how AI can assist in design tasks. However, challenges remain, such as rate limits specific to Claude Design that restrict extensive use. Other tools, like Google's Gemini integration, have been less successful, indicating varying effectiveness among different LLMs in this creative domain. As LLMs continue to evolve, their potential to enhance the creative workflow in slideshow production is becoming increasingly evident.