This module explores the Purple Fabric LLM Optimization Hub, a centralized platform designed to help enterprise AI leaders select suitable AI models for their specific use cases. It covers how to balance competing factors like accuracy, cost, and latency in model selection and introduces the different model categories available, such as foundation, embedding, and reranking models. The module also details the platform's performance benchmarking capabilities, enabling data-driven decisions based on real-world model performance.

After each lesson, you’ll earn points. Reach ⭐ 100 points to complete the course. Learn at your own pace. Your progress will be saved automatically.

⏳ Duration: 20 Minutes