In this session, you’ll learn how to integrate AI with your own library of content (knowledge, data, processes, and organizational know-how) to enhance your business operations, marketing, and decision-making. We’ll break down the structure of AI models in an accessible way, showing you how to set up systems that can tap into your unique resources. Whether you're looking to streamline processes or gain deeper insights from your organizational "Brain Trust", this session will provide you with practical knowledge to further explore what your organization already knows.
By the end of this session, you will:
Understand how AI models can utilize your existing organizational knowledge for better business outcomes.
Learn how to augment AI models with your own data to make them more tailored and effective.
Explore the pros and cons of different AI approaches, including Fine Tuning and RAG models.
Discuss how the structure of your content library can impact AI performance and accuracy.
Gain insights into setting up AI solutions that are practical, scalable, and aligned with your business goals.
Agenda
Introduction & Overview
Basic structure of Large Language Models (LLMs)
How LLMs reference and use training data
Definition of Fine Tuning
Setting Up a Retrieval-Augmented Generation (RAG) Model
Review of Retrieval-Augmented Generation (RAG)
Impact of Your Content Library Structure
Q&A and Next Steps
Please note that this will be an Interactive Session, you will be able to:
Follow the provided examples & make adjustments yourself.
Get real-time feedback and ask questions to address any issues or questions.
Want to catch up on our previous live sessions?! Here they are again ...
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