"Old School" Machine Learning vs. Generative AI: Unleashing the Magic of Machines
Delante Lee Bess
ServiceNow & Responsible AI Consultant | EdTech | Entrepreneur | Coach | Mentor | ΑΦΑ ????
Hello LinkedIn community! Today, we’re embarking on an exciting journey into the world of Artificial Intelligence (AI). Buckle up, because we’re about to explore the fascinating realms of Traditional Machine Learning (ML) and Generative AI.
Why This Matters:
Our client asked, “Machine Learning has been around for a long time, so what's the difference between the 'old-school' stuff vs. Generative AI?” Well, dear client, these two are like yin and yang—complementary forces that shape the AI universe. So, next time you see a smart recommendation or a mind-blowing artwork, remember the wizards behind the scenes: Machine Learning and Generative AI!
Keep exploring, keep innovating, and let the magic unfold!
Machine Learning: The Rule-Following Wizard
Imagine ML as a wise old wizard who meticulously follows a set of ancient rules. These rules guide its actions, like a well-behaved robot that obeys commands. Let’s break it down:
Goal:
In what is considered old-school (i.e. traditional) ML we aim to predict outcomes or classify things based on input data. It’s like a detective trying to solve mysteries by drawing lines between different clues.
Key Points:
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Remember, dear readers, whether you’re identifying fruits or finding patterns, both "old school" ML and Generative AI contribute to the grand saga of Artificial Intelligence!
Real-World Examples:
Generative AI: The Creative Sorcerer
Now, meet Generative AI—the sorcerer who weaves magic spells to create new things! Unlike ML, Generative AI isn’t bound by rules; it’s an artist, a composer, and an inventor rolled into one.
Superpowers:
Real-Life Magic:
This article was inspired by a curious client’s question. If you have more queries, drop them in the comments below! Let’s keep the AI conversation going.
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11 个月Exploring the nuances of AI is always a fascinating journey