Topic: "serving-infrastructure"
ksm26/Efficiently-Serving-LLMs
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 3
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