AI Model Design & Development: Beyond the API

Calling an API is easy. Designing a robust AI architecture is an art. In this technical deep-dive, we explore the “brain” of the operation. We will look at how to move from generic models to specialized solutions that drive competitive advantage.

What We Will Cover:

• Model Selection: When to use Large Quantitative Models (LQMs) vs. LLMs.
• RAG Implementation: Best practices for Retrieval-Augmented Generation.
• Fine-Tuning: Cost-effective strategies to train models on your proprietary knowledge.

Who Should Attend: CTOs, Developers, and Solution Architects.