Customizing Intelligence: Fine-Tuning and Prompt Engineering for Real-World Impact

About this session

Enterprises are moving beyond generic foundation models and focusing on how to customize AI for specific workflows, data, and business contexts. This panel dives deep into two core techniques—fine-tuning and prompt engineering—that enable organizations to extract maximum value from generative models. Experts will share strategies for balancing cost, control, and performance when adapting models to domain-specific use cases, from customer support to design to code generation. Discussion will cover instruction tuning, retrieval augmentation, and structured prompt frameworks for consistent outputs. Attendees will walk away with a clear understanding of how to align model behavior with business goals, when to fine-tune vs. when to prompt-engineer, and how leading teams are operationalizing these methods to build smarter, more differentiated AI systems.