LLM Quality Optimization Bootcamp - Fine-Tuning Open Source Models for Cost-Effective GenAI

Learn how to optimize large language model quality and reduce costs by over 60x through fine-tuning smaller open source models in this comprehensive 53-minute bootcamp. Discover techniques for collecting and curating fine-tuning datasets, fine-tune Llama 3 for specialized tasks like classification and function calling, and deploy your optimized models into production using OctoAI and OpenPipe. Follow along with hands-on demonstrations that show how properly fine-tuned open source models can match or exceed the performance of proprietary state-of-the-art models while dramatically reducing GenAI usage costs. Access the provided Colab notebook for practical implementation and gain insights from Thierry Moreau, co-founder of OctoAI and University of Washington Ph.D., alongside Pedro Torruella, Senior DevRel Engineer at OctoAI, as they share their expertise in building more efficient and safer AI systems through this live recording from the AI Engineer World's Fair in San Francisco.