LLM Economics - The Cost of Leveraging Large Language Models

Explore the economic implications of deploying Large Language Models (LLMs) in production environments in this insightful 31-minute conference talk from MLOps World: Machine Learning in Production. Delve into the often-overlooked aspects of cost and maintainability associated with LLM implementation. Gain valuable insights from Nikunj Bajaj, CEO & Cofounder of TrueFoundry, as he breaks down the various expenses involved in developing LLM-based applications. Compare the financial implications of different approaches such as RAG versus fine-tuning, and open-source versus commercial LLMs. Discover eye-opening cost estimates, including the staggering $360,000 price tag for summarizing Wikipedia to half its size using GPT-4's 8k context window. Prepare for the post-honeymoon phase of LLM adoption by understanding the practical realities and economic considerations that will shape the future of AI implementation in production environments.