Accelerating Hebrew LLM Performance with NVIDIA TensorRT-LLM – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Asher Fredman <![CDATA[Accelerating Hebrew LLM Performance with NVIDIA TensorRT-LLM]]> http://www.open-lab.net/blog/?p=86776 2024-08-22T18:25:40Z 2024-08-06T16:03:53Z Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language...]]> Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language...

Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language itself. The intricate structure of Hebrew, with words formed through root and pattern combinations, demands sophisticated modeling approaches. Moreover, the lack of capitalization and the frequent absence of punctuation like periods and commas��

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