Vectorizing Enterprise Documents for AI and ChatGPT Integration
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Overview
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Learn how to transform enterprise documents into AI-ready vector representations in this 22-minute tutorial video that addresses common questions about integrating external data with ChatGPT and GPT-4. Explore practical solutions for handling token representation mismatches and understand the process of vectorizing documents for AI applications through simple examples and live demonstrations. Follow along with step-by-step explanations of GPT-4's capabilities, domain knowledge limitations, and methods for incorporating new data. Watch live interactions with ChatGPT and GPT-4 that illustrate immediate responses and practical applications. Building upon previous tutorials about GPT-4's Dynamic Data Flow and Azure Cognitive Search integration, master the fundamentals of enterprise knowledge integration with AI systems through clear visualizations and real-world scenarios.
Syllabus
Intro
Question
What is GPD4
What if GPD4 does not have domain knowledge
How to provide new data to GPD4
Create dummy document
Demo
Why
Viewer Question
Example
Summary
Taught by
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