Week 1 - Mini Project - Interact with My AI
Using ChatGPT, I prompted it to re-explain the following terms with a new analogy, and I will say that I am impressed with the results. Below is its output (non-edited): 1) Artificial Intelligence (AI) New analogy: AI is like electricity for thinking—once you have it, you can power lots of different “mental appliances” (recommendations, vision, planning) across every room of the house. 2) Machine Learning (ML) New analogy: ML is a thermostat with a memory. It watches how you adjust the temperature, learns your habits, and starts setting the room just right without being told each time. 3) Neural Networks New analogy: Picture layers of airport security. Each checkpoint (layer) checks for something different—IDs, liquids, shoes—and only what passes all checks gets through as the final decision. 4) Deep Learning New analogy: A multi-stage car wash for data. Each station scrubs a different kind of grime, and after enough passes, the pattern (the “car”) comes out crystal clear. 5) Generative AI New analogy: A jazz improviser who’s listened to millions of songs. It riffs new melodies (text, images, audio) that feel familiar yet original. 6) Large Language Models (LLMs) New analogy: A supercharged predictive keyboard trained on a giant library. You start a sentence; it can keep going—informal, academic, funny—on cue. 7) AI Wrappers New analogy: A smoothie bar using an industrial blender in the back. The wrapper is the menu and friendly counter; the heavy-duty blender (the base model) is hidden but does the real mixing. 8) Open-Source vs Closed-Source AI New analogy: Open-source: A community workshop with tools everyone can inspect and modify. Closed-source: A private studio—great equipment inside, but only the owner can change how it works. 9) Artificial General Intelligence (AGI) New analogy: The ultimate cross-trained teammate—give it a new role today (chef), a different one tomorrow (engineer), and it learns both well enough to work beside you.