FINAL WORD requires a tiny fraction of cooling water compared to mainstream models such as ChatGPT .
As we are all seeing , the applications of LLMs are myriad , and with their use growing rapidly , it is imperative to consider their environmental footprint and affordability , because transformative technologies should be within the reach of everyone .
To ensure the widespread availability of LLMs it is also important to ensure they are available in a variety of languages . This will expand their reach and ability to positively impact society and prevent a winner takes all effect whereby the most widely spoken languages , most notably English , gain yet more dominance due to the growing influence of LLMs , while other underrepresented languages , including Arabic with around 500 million speakers , risk losing influence among their community .
Creating LLMs in English is easier than other languages because the quality datasets needed for training the model are more readily available . But we are finding new ways of using data to train LLMs in other languages and supporting the decentralization of the creation process by open-sourcing LLMs .
I am particularly optimistic after our work on Jais , the world ’ s highest quality Arabic LLM that was developed in partnership with Core42 , an arm of Abu Dhabi technology company G42 and Cerebras Systems .
MBZUAI and Core42 jointly worked on Jais ’ training , fine-tuning , evaluation , and AI safety features , and
One of the major areas where research from MBZUAI is already having an impact , including on sustainability , is LLMs .
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