aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets

Lucas Pavanelli, Shreyas Sharma, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf

Abstract: The aiXplain SDK is an open-source Python toolkit which aims to simplify the wide and complex ecosystem of AI resources. The toolkit enables access to a wide selection of AI assets, including datasets, models, and metrics, from both academic and commercial sources, which can be selected, executed and evaluated in one place through different services in a standardized format with consistent documentation provided. The study showcases the potential of the proposed toolkit with different code examples and by using it on a user journey where state-of-the-art Large Language Models are fine-tuned on instruction prompt datasets, outperforming their base versions.