The advancements in large language models (LLMs) have created opportunities across industries, from automating content creation to improving scientific research. However, significant challenges remain. High-performing models are often proprietary, restricting transparency and access for researchers and developers. Open-source alternatives, while promising, frequently struggle with balancing computational efficiency and performance at scale. Furthermore, limited language diversity […]
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