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Retrieved on: 2024-06-17 18:51:59
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Summary
The article reviews the performance comparison of different backends for serving Llama 3 models using GPGPU and parallel computing technologies. The key concept of 'Technology' encompasses the use of graphics hardware, CUDA, and ROCm libraries in optimizing natural language processing tasks on large language models like Llama. Tags such as 'GPGPU', 'Graphics hardware', 'Parallel computing', and 'Large language model' relate to advanced inference optimizations discussed.
Article found on: towardsdatascience.com
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