LLM Fine-Tuning for Modern AI Teams - How One E-Commerce Unicorn Cut Inference Cost by 90%

Discover how an e-commerce unicorn reduced inference costs by 90% through LLM fine-tuning in this 46-minute conference talk from MLOps World: Machine Learning in Production. Explore the core concepts of selecting a base model, preparing high-quality datasets, executing fine-tuning jobs, and evaluating tuned models. Learn about the advantages of using small open-source fine-tuned models like Mistral 7B and Phi-2/3 for specific tasks, offering similar performance to commercial LLMs at a fraction of the cost. Gain insights into utilizing tools such as Airtrain AI to embark on your fine-tuning journey, enabling more control and cost-effectiveness in AI implementation for modern teams.

LLM Fine-Tuning for Modern AI Teams: How One E-Commerce Unicorn Cut Inference Cost by 90%