In today’s era of information technology, the development of artificial intelligence is opening up new opportunities in the field of global language. The OPT (Open Pre-trained Transformers) and BLOOM projects represent the progress of the research community, expanding the accessibility and application of transformer models across various domains.
OPT, developed by the Meta AI Team (Facebook), has provided the research community with decoder-only models ranging from 125 million to 66 billion parameters, offering opportunities for many research groups to engage with artificial intelligence technology. The advancement of OPT marks a shift from the focus of large technology companies towards diversification and community-driven research.
BLOOM, an independent project developed by Hugging Face and the Montreal AI Ethics Institute, takes a significant step forward with a transformer decoder-only model containing 176 billion parameters. The opening of data and infrastructure has facilitated the participation of over 1000 researchers from various countries, fostering diversity in language research.
BLOOM is not only a model for common natural languages but also supports 13 programming languages, opening doors for new and innovative applications in translation, machine learning, and many other fields.
However, accessing transformer models with a large number of parameters still demands costly computational resources, posing a challenge for research groups and small organizations. Focusing on developing smaller models and reaching out to minority languages and cultures may be a next step for the language research community.
In conclusion, the OPT and BLOOM projects not only open opportunities for diversity in language research but also drive development and innovation in this field. The integration of technology and cultural diversity will be the driving force for new advancements and diverse applications of artificial intelligence in the future.
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