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Quick Tip 13 - Understanding Generative AI terminology

Updated: Aug 5, 2023


A hand delicately holding a piece of glowing material, symbolizing the power and potential of Generative AI terminology.
Image : David Kolb

🚀 Quick Tip #13: Demystifying Artificial Intelligence and Generative AI 🤖💡


In this Quick Tip, we'll tackle the challenge of understanding Artificial Intelligence and Generative AI terminology to help you better understand these terms in the context of their widespread use.


Let's simplify and clarify the distinctions between these concepts and explore two popular Generative AI models for text and image generation.

Generative AI terminology
Image : David Kolb

🔹 AI allows machines to mimic human intelligence. It powers tools we often use – think recommendation platforms or voice assistants.


🔹 Generative AI crafts new content like texts, visuals, and tunes. It learns from data to create. A striking example? AI-made artwork.


🔹 Text Generation – Meet models like ChatGPT or Bard. They're part of the Large Language Models (LLMs) niche in Generative AI. What makes them "large"? The sheer scale of training data and parameters!


🔹 Image Generation – Models like DALL-E 2 and Midjourney harness techniques to refine random images into specific visual prompts. Imagine a skating cat in space – yes, that's possible!


While AI mimics human thought, Generative AI produces fresh content. Knowledge of this equips you for innovative decisions and ensures you stay ahead in your industry.


Seen any impressive Generative AI works lately? Let's discuss this below! 💡👇


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