May 13, 2024, 12:51 a.m. | Sajjad Ansari


Autoregressive language models (ALMs) have proven their capability in machine translation, text generation, etc. However, these models pose challenges, including computational complexity and GPU memory usage. Despite great success in various applications, there is an urgent need to find a cost-effective way to serve these models. Moreover, the generative inference of large language models (LLMs) […]

The post FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality appeared first on MarkTechPost.

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