suzgunmirac
commented
9 months ago Hi @yifanzhang-pro, thank you for reaching out and sharing your work with us. As we mentioned in our e-mail exchange, we were not previously aware of your work; however, we will certainly review it and ensure appropriate references are included in the revised version of our paper. Furthermore, we are planning to make our code and results publicly available in the upcoming days.
Upon reviewing the recent publication 'Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding' (Jan 2024) (https://huggingface.co/papers/2401.12954), I couldn't help but notice several conceptual parallels with the 'Meta Prompting for AGI Systems' (Huggingface: https://huggingface.co/papers/2311.11482, GIthub: https://github.com/meta-prompting/meta-prompting) paper from November 2023. Both papers present Meta Prompting as a transformative approach in the realm of large language models and AI systems, with a particular emphasis on enhancing problem-solving capabilities.
What caught my attention was the application of Meta Prompting in conjunction with external tools and code interpreters, a theme evidently present in both papers. Given these overlapping areas, I'm interested in understanding the specific advancements or unique perspectives the 2024 paper offers in this domain. Are there differences in the implementation, scope, or efficiency of integrating these tools in AI systems? Or does the 2024 paper introduce new methodologies or applications not explored in the 2023 paper? Specifically, how does the 2024 paper's approach to task management, integration with external tools like Python interpreters, and detailed performance metrics differ from or build upon the theoretical foundations and multi-modal applications discussed in the 2023 paper?
I believe a discussion on these nuances would be beneficial for the community, particularly in understanding the progression of Meta Prompting techniques and their practical applications in diverse AI and AGI systems.