Towards the end of 2021, the social media behemoth Facebook underwent a rebranding to Meta, signaling its shift towards the Metaverse concept and its ambition to evolve into a more technologically advanced company.
It’s fair to observe that, with the time that has elapsed, the Metaverse has remained more of a concept than a reality. The pursuit of this vision is hampered by the impracticality and high cost of virtual reality hardware, alongside a significant quality gap in software.
In essence, the Metaverse, having failed to introduce any tangible innovations to user experience, remains an abstract concept. Amidst these challenges, Meta’s CEO, Mark Zuckerberg, revealed a loss of $13.7 billion in 2022 due to its investments and announced the development of an AI-supported language model.
Aiming not to fall behind in the race with competitors like Google’s Bard and Microsoft, the company introduced LLaMA (Large Language Model Meta AI). This AI system demonstrates potential in generating text, engaging in conversation, summarizing written content, solving mathematical theorems, and predicting protein structures, among other complex tasks.
According to a blog post on the subject, LLaMA has been trained using publicly available data from sources including the C4 corpus, Wikipedia, Stack Exchange, and ArXiv. Meta also highlights that LLaMA requires significantly less computational power than other leading language models.
Currently, LLaMA is exclusively available to researchers for non-commercial use and will not be integrated into any of Meta’s platforms, such as Facebook and Instagram. It appears Meta will continue to explore various technological avenues until a more conducive environment for the Metaverse materializes.
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