Strategic Approaches for Efficient AI Deployment

Large Language Models (LLMs) have the potential to transform businesses, automating communication, streamlining content creation, and enhancing decision-making processes with efficiency and accuracy. However, these state-of-the-art tools face significant challenges, including computational workload, latency issues, and environmental impact.

Learn how approaches such as quantization, flash attention, key-value caching, and request batching can overcome these challenges to make a profound difference in the deployment of LLMs.