Accelerating Large Language Model Inference: Techniques for Efficient Deployment

Large language models (LLMs) like GPT-4, LLaMA, and PaLM are pushing the boundaries of what's possible with natural language processing. However, deploying these massive models to production environments presents significant challenges in terms of computational requirements, memory usage, latency, and cost. As LLMs continue to grow larger and more capable, optimizing their inference performance is […]

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