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Gen-AI Foundations Unveiled — Part One: Infrastructure Component
How Cutting-Edge Infrastructure Powers Smart Systems
TL;DR: The infrastructure component is the backbone of any AI system, as it determines the system’s capacity, efficiency, and limitations. Different architecture types, such as transformers, diffusion-based models, and graphs neural networks (GNNs), each have their own strengths and weaknesses that impact their ideal use cases. Understanding these differences is essential for making informed decisions about AI tools.
To understand the mechanisms underlying artificial intelligence, let’s examine a specific example: ChatGPT-4o with Canvas. This system is built upon several fundamental components, each responsible for a critical function that contributes to the system’s overall efficiency and capability. These components include the infrastructure component, the model and knowledge component, and the user interface component. Below, we discuss the distinct role of each component in making ChatGPT-4o a robust AI system:
- Infrastructure Component: This serves as the computational foundation of ChatGPT-4o. It manages the numerical calculations and data processing that underpin the model’s functioning, ensuring everything operates with precision and efficiency. Essentially, it forms the basis that…
