Analytics Architecture 08: From Pre-Trained to Fine-Tuned: How to Get the Most Out of Vector, RAG, and Small Language Models

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The landscape of AI models is rapidly evolving, with vector databases, retrieval-augmented generation (RAG), and small language models offering unprecedented flexibility and efficiency. This hands-on session will demystify the process of adapting pre-trained models to specific enterprise needs, providing practical strategies for fine-tuning, prompt engineering, and model optimization. Attendees will learn how to leverage these technologies to create more accurate, context-aware, and cost-effective AI solutions.

William McKnight
President, McKnight Consulting Group

William McKnight has advised many of the world’s best-known organizations. His strategies form the information management plan for leading companies in numerous industries. He is a prolific author and a popular keynote speaker and trainer. He has performed dozens of benchmarks on leading database, data lake, streaming, and data integration products. William is the #1 global influencer in data warehousing and master data management, and he leads McKnight Consulting Group, which has twice placed on the Inc. 5000 list.

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