How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking
Briefly

Lelapa AI, co-founded by Jade Abbott, seeks to address communication barriers by utilizing AI technology tailored for African languages. Abbott emphasizes the importance of universal communication for societal progress, stating that without effective collaboration through language, building a better future is challenging. The startup aims to tackle various problems by making AI tools more efficient, which not only aids in language processing but can contribute positively to global communication. Ultimately, their mission is to foster understanding and cooperation across diverse cultures.
Adapting your model for the infrastructure constraints makes it cost-effective, too.
We really need to be able to speak in each other's languages and be able to communicate with everyone.
The long-term dream of Lelapa itself is really building the tools and technologies to enable universal communication.
We're really looking at how we can utilise AI tooling to make it more efficient, whether it be data-efficient or compute-efficient.
Read at InfoQ
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