Diary of AI CEO [EP.3] : Back to What is AI?

With so so so much noise about AI nowadays, for laymen, this could be overwhelming, confusing and scary at the same time. Obviously, imposters will disguise a lot of things under the blanket term AI. The market and potential buyers will have a peace of mind that they have purchased according to the boss’s instructions that “we have to adopt AI NOW!”

Back to What is AI?

• Deep Learning = AI and this is the most relevant
• Gen AI (Generative AI) = AI and this is also a deep learning but with specific use case of being generative or generating something new from prompt input
• Machine Learning = AI, although not in the breakthrough sense we experience recently
• Optimization != AI. Optimization is deterministic. Mostly constrained optimization where there is an objective to minimize (cost) or maximize (sales). Example: Scheduling problem or routing problems. Given the constraint of time and cost of personnel or cost of fuel and number of trucks, try to create a schedule or routing plan that is optimal in terms of cost subject to the constraints.
• Rule-based !=AI  This is the most opposite to AI but yet some vendors will just claim it is AI. Or even when vendor eventually uses rule-based because there is no need for AI, users will still call it AI since the project starts with the goal of “Use AI to do abc”.

Discover unique insights into AI development from the perspective of an AI developer, unlike anything you’ve encountered before, in the upcoming episode of DIARY OF AI CEO. Stay tuned for its release soon. If you have specific topics related to AI development that you would like me to share, feel free to reach out via email at [email protected]. See you in the next episode!