Join us as we explore the fascinating world of Large Language Models (LLMs), delving into the significant challenges of efficient inference driven by their immense size and computational demands. We'll uncover how various optimization techniques across data, model, and system levels are enhancing performance. Finally, we'll discuss the crucial trade-offs and practical use cases for both large and small LLMs, helping you understand when to prioritize broad capability versus cost-effectiveness, speed, and privacy.
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