https://github.com/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.

batch-processing deep-learning-techniques inference-optimization large-scale-deployment machine-learning-operations model-acceleration model-inference-service model-serving optimization-techniques performance-enhancement scalability-strategies server-optimization serving-infrastructure text-generation

Last synced: 28 Mar 2025