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.
text-generation
batch-processing
server-optimization
model-serving
model-acceleration
inference-optimization
optimization-techniques
machine-learning-operations
deep-learning-techniques
model-inference-service
performance-enhancement
scalability-strategies
serving-infrastructure
large-scale-deployment
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Updated
Apr 12, 2024 - Jupyter Notebook