Accelerating AI-Powered Research: The PuppyChatter Framework for Usable and Flexible Tooling
The PuppyChatter framework aims to simplify the development of AI applications by addressing the complexities associated with existing tools. It combines the user-friendly aspects of vendor-specific SDKs with the flexibility of vendor-neutral model abstractions. This approach seeks to enhance usability while mitigating security concerns and vendor lock-in.
- ▪PuppyChatter is designed to streamline AI application development.
- ▪The framework preserves the simplicity of vendor-specific SDKs.
- ▪It adheres to vendor-neutrality principles to reduce dependency on specific vendors.
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Computer Science > Artificial Intelligence arXiv:2605.17809 (cs) [Submitted on 18 May 2026] Title:Accelerating AI-Powered Research: The PuppyChatter Framework for Usable and Flexible Tooling Authors:Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang, Yung-Hui Chen, Jia-Rou Lin View a PDF of the paper titled Accelerating AI-Powered Research: The PuppyChatter Framework for Usable and Flexible Tooling, by Chun-Hsiung Tseng and 4 other authors View PDF HTML (experimental) Abstract:This research addresses the challenges inherent in developing Artificial Intelligence (AI) applications, particularly those leveraging Large Language Models (LLMs).
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